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Title: Contributions to the study on assignment problems in fuzzy environment
Researcher: Hema K
Guide(s): 
Keywords: Physical Sciences
Mathematics
Mathematics Applied
fuzzy
environment
University: Anna University
Completed Date: 2019
Abstract: In real life, we are encountered with problems of allocating different personnel/workers to different jobs. It is to be kept in consideration that not everyone has the same ability to perform a given job. Different persons have different abilities to execute the same task and these different capabilities are expressed in terms of various parameters like cost/profit/time involved in executing a given job. Hence, it is to be decided that we need to assign different workers to different jobs so that, the cost of performing such job gets reduced to a considerable extent. Thus this specific thesis is devoted to analyze and find the optimum value of the assignment problem using different approaches so as to get the minimum cost or maximum profit either way. In all these approaches, it is to be remembered that costs/profits are considered as imprecise numbers. These approaches are surely easily understandable and applicable in real life assignment problems for decision makers and problem solvers as well. Assignment problem is a combinatorial optimization problem in the field of operations research. In real world situation, the objectives, constraints or parameters are imprecise, because a decision is often made on the basis of vague or ambiguous information. As a result of this in recent years, fuzzy approach plays a vital role. Fourier elimination method is proposed to find the optimal solution. Here the costs are taken as triangular fuzzy numbers and are converted into crisp or precise number using Graded mean integration representation. The illustrated numerical example shows the efficiency of the proposed method. newline
Pagination: xix, 161p.
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Olson, Mark Allen (1991) Dissertation (Ph.D.), California Institute of Technology. doi:10.7907/8ZCK-E373.

In this thesis I consider the problem of assigning a fixed and heterogeneous set of goods or services to a fixed set of individuals. I analyze this allocation problem with and without the use of monetary transfers to allocate good.

There are many applications in the literature associated with this problem. The usual approach to this problem has been to discuss the properties of individual mechanisms (variously called procedures, algorithms, or rules) to solve the problem, often ignoring the incentive properties. In this thesis I take a different approach, that is, to look at a large class of mechanisms and to determine the conditions necessary to induce mechanisms with desired optimality and incentive properties. This analytic technique is augmented by an experimental examination of some of the mechanisms that have been proposed to solve this problem. Mechanisms that use transfers and consider incentive properties exist in the literature, but mechanisms that do not use transfers do not. None of these mechanisms has been tested or compared. The thesis is divided into two chapters; in chapter I, I examine the class of nontransfer dominant and Nash strategy mechanisms, and in chapter II, I discuss the experimental tests of the known transfer mechanisms and of the nontransfer mechanisms discussed in chapter I.

In the first chapter of this thesis, I characterize the conditions necessary for a nontransfer mechanism to be implementable in dominant and Nash strategies. This characterization is an extension of the Gibbard-Satterthwaite theorem. One of the conditions, ordinality, explains a distinction that is observed in the mechanisms described in the literature, that is, the use of cardinal information when transfers are used, and the use of ordinal information when transfers are not used. In addition, I apply a little-known concept for strategic behavior, nonbossiness, which is a necessary condition for implementability.

In the second chapter of this thesis, I use experimental methods to explore some procedures that could be used to assign individuals to slots. I look at four mechanisms, two transfer mechanisms, a sealed-bid auction and a progressive auction, and two nontransfer mechanisms, a choice mechanism and a chit mechanism (which are also studied in part I of this thesis). The mechanisms were compared to their theoretical predictions and to each other. For the chit mechanism a genetic algorithm was used to compute the predicted outcome; since this is a new use for the technique, I discuss the methodology that I used.

The experimental results for the transfer auctions are similar to the results found for single and multiple unit auctions; that is, progressive auctions tend to be more efficient and extract higher revenue from the bidders. While the transfer mechanisms studied had the properties that they are efficient and extract surplus (in terms of revenue) from the bidders, nontransfer mechanisms retain most of the surplus for bidders but tend to be less efficient. The difference between the two classes of mechanisms was most apparent in a high-contention environment where the use of nontransfer mechanisms resulted in a much larger surplus to the individual bidders, and the transfer mechanisms resulted in slightly higher efficiencies (the differences in efficiencies were small in comparison to the differences in consumer surplus). In a low-contention environment the use of either a transfer or a nontransfer mechanism had little effect on either the efficiencies or the consumer surplus.

The results of this study are a first step to understanding the assignment problem and to understanding more difficult allocation problems with heterogeneous goods. Two simple results are evident from our results. In the low-contention environment the planner can choose among the mechanisms discussed and not be concerned about their relative merits, since there is little difference in the outcomes of these mechanisms; in the high-contention environment the planner must determine whether efficiency or consumer surplus is more important; if efficiency or revenue is most important then, the progressive auction is clearly superior, if consumer welfare is most important then the chit mechanism is superior.

Item Type:Thesis (Dissertation (Ph.D.))
Subject Keywords:Mechanism Design, Experimental Economics, Assignment Problem, Nash and Bayesian equilibrium, Repeated Measures Analysis
Degree Grantor:California Institute of Technology
Division:Humanities and Social Sciences
Major Option:Social Science
Thesis Availability:Public (worldwide access)
Research Advisor(s):
Thesis Committee:
Defense Date:29 May 1991
Non-Caltech Author Email:molson (AT) olsonhome.org
Record Number:CaltechETD:etd-07232007-145323
Persistent URL:
DOI:10.7907/8ZCK-E373
Default Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:2971
Collection:CaltechTHESIS
Deposited By: Imported from ETD-db
Deposited On:01 Aug 2007
Last Modified:21 Dec 2019 03:05

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The multi-modal traffic assignment problem.

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Assignment problems and their application in economics

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Four assignment problems are introduced in this thesis, and they are approached

based on the context they are presented in. The underlying graphs of

the assignment problems in this thesis are in most cases bipartite graphs with two

sets of vertices corresponding to the agents and the resources. An edge might show

the interest of an agent in a resource or willingness of a manufacturer to produce

the corresponding product of a market, to name a few examples.

The rst problem studied in this thesis is a two-stage stochastic matching

problem in both online and oine versions. In this work, which is presented in

Chapter 2 of this thesis, a coordinator tries to benet by having access to the

statistics of the future price discounts which can be completely unpredictable for

individual customers. In our model, individual risk-averse customers want to book

hotel rooms for their future vacation; however, they are unwilling to leave booking to

the last minute which might result in huge savings for them since they have to take

the risk of all the hotel rooms being sold out. Instead of taking this risk, individual

customers make contracts with a coordinator who can spread the risk over many

such cases and also has more information on the probability distribution of the future

prices. In the rst stage, the coordinator agrees to serve some buyers, and then in

the second stage, once the nal prices have been revealed, he books rooms for them

just as he promised. An agreement between the coordinator and each buyer consists

of a set of acceptable hotels for the customer and a single price. Two models for

this problem are investigated. In the rst model, the details of the agreements are

proposed by the buyer, and we propose a bicriteria-style approximation algorithm

that gives a constant-factor approximation to the objective function by allowing a

bounded fraction of our hotel bookings to overlap. In the second model, the details

of the agreements are proposed by the coordinator, and we show the prices yielding

the optimal prot up to a small additive loss can be found by a polynomial time

In the third chapter of this thesis, two versions of the online matching problem

are analyzed with a similar technique. Online matching problems have been studied

by many researchers recently due to their direct application in online advertisement

systems such as Google Adwords. In the online bipartite matching problem, the

vertices of one side are known in advance; however, the vertices of the other side

arrive one by one, and reveal their adjacent vertices on the oine side only upon

arrival. Each vertex can only be matched to an unmatched vertex once it arrives and

we cannot match or rematch the online vertex in the future. In the online matching

problem with free disposal, we have the option to rematch an already matched oine

vertex only if we eliminate its previous online match from the graph. The goal is to

maximize the expected size of the matching. We propose a randomized algorithm

that achieves a ratio greater than 0:5 if the online nodes have bounded degree. The

other problem studied in the third chapter is the edge-weighted oblivious matching in

which the weights of all the edges in the underlying graph are known but existence

of each edge is only revealed upon probing that edge. The weighted version of

the problem has applications in pay-per-click online advertisements, in which the

revenue for a click on a particular ad is known, but it is unknown whether the user

will actually click on that ad. Using a similar technique, we develop an algorithm

with approximation factor greater than 0:5 for this problem too.

In Chapter 4, a generalized version of the Cournot Competition (a foundational

model in economics) is studied. In the traditional version, rms are competing in

a single market with one heterogeneous good, and their strategy is the quantity

of good they produce. The price of the good is an inverse function of the total

quantity produced in the market, and the cost of production for each rm in each

market increases with the quantity it produces. We study Cournot Competition on

a bipartite network of rms and markets. The edges in this network demonstrate

access of a rm to a market. The price of the good in each market is again an

inverse function of the quantity of the good produced by the rms, and the cost of

production for each rm is a function of its production in dierent markets. Our

goal is to give polynomial time algorithms to nd the quantity produced by rms

in each market at the equilibrium for generalized cost and price functions.

The nal chapter of this thesis is on analyzing a problem faced by online

marketplaces such as Amazon and ebay which deal with huge datasets registering

transaction of merchandises between many buyers and sellers. As the size of datasets

grow, it is important that the algorithms become more selective in the amount of

data they store. Our goal is to develop pricing algorithms for social welfare (or

revenue) maximization that are appropriate for use with the massive datasets in

these networks. We specially focus on the streaming setting, the common model

for big data analysis. Furthermore, we include hardness results (lower bounds)

on the minimum amount of memory needed to calculate the exact prices and also

present algorithms which are more space ecient than the given lower bounds but

approximate the optimum prices for the goods besides the revenue or the social

welfare of the mechanism.

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STAFF ASSIGNMENT PROBLEM

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Abstract We consider a high-multiplicity generalization of the classical stable matching problem known as the stable allocation problem, introduced by Baïou and Balinski in 2002. By leveraging new structural properties and sophisticated data structures, we show how to solve this problem in O (mlog n) time on a bipartite instance with n vertices and m edges, improving the best known running time of O (mn).

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The aim of every business setup is to optimize cost (to maximize profit or minimize the cost of operation) while meeting certain constraints. In order to satisfy the demand of its customers, Latex Foam Rubber Products Limited has to arrange the limited number (fourteen) of vehicles at its disposal to send their products to their various depots.The assignments of these vehicles are made depending on the time an order is placed for the products and the truck available at that time. This work seeks to address the problemof finding efficient assignments of these fourteen vehicles to the sixteen majorroutes linking the factory to the termini destinations so as to minimize the totalcost (number of gallons of diesel) required for transporting the company's products to its customers along these routes. Data on the types of trucks, number of gallons of diesel used per trip by each of the trucks to transport latex foam products and final destinations of the trucks, was obtained from the sales manager of the company through questioning. The Munkres Assignment algorithm, which best solves assignment problems, was employed. The algorithm takes the cost matrix of the assignment problem as input and proceeds by manipulating rows and columns through addition and subtraction to find the optimal assignment. The problem was solved using MATLAB computer program. Search on the internet was used to obtain the related literature. Books from the main Library at Kwame Nkrumah University of Science and Technology and the Mathematics Department's library were read in the course of the project.

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Michael Sandel’s arguments about genetic engineering do not take into consideration all the relevant issues.

This is an arguable claim because it would be possible to argue against it by saying that Michael Sandel’s arguments do take all of the relevant issues into consideration. But the claim is too broad. Because the thesis does not specify which “issues” it is focused on—or why it matters if they are considered—readers won’t know what the rest of the essay will argue, and the writer won’t know what to focus on. If there is a particular issue that Sandel does not address, then a more specific version of the thesis would include that issue—hand an explanation of why it is important.  

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While Sandel argues persuasively that our instinct to “remake” (54) ourselves into something ever more perfect is a problem, his belief that we can always draw a line between what is medically necessary and what makes us simply “better than well” (51) is less convincing.

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Given Sandel’s argument against genetic enhancement, we should not allow parents to decide on using Human Growth Hormone for their children.

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Storage Location Assignment Problem in a Warehouse: A Literature Review

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assignment problem thesis

  • Lucy Medrano-Zarazúa 7 ,
  • Jania Astrid Saucedo-Martínez 7 &
  • Johanna Bolaños-Zuñiga 7  

Part of the book series: EAI/Springer Innovations in Communication and Computing ((EAISICC))

Included in the following conference series:

  • International Conference on Computer Science and Health Engineering

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Warehouse management is one of the many companies’ operations that is a main part of the supply chain. Storage takes up between 2 and 5% of the total cost of sales in an organization (Hwang and Cho (Comput Ind Eng 51(2):335–342, 2006)). The storage allocation of products is an activity inside the warehouses that help managing a good flow of the products. It is a complex issue since it depends on many parameters such as the number of spaces, the quantity of products, and the number of rack levels that are in the warehouse, and the resources to move, among other things. When optimizing the flow of operations in the warehouse, good decisions have to be made, and, in this work, through a systematic literature review, different academic papers published between 2005 and 2021 on the SLAP are analyzed and classified according to the solution methodology, objectives, and other characteristics, so that the most used methods in the literature are obtained for this type of problem as well as the parameters that are most taken into account to solve it.

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Medrano-Zarazúa, L., Saucedo-Martínez, J.A., Bolaños-Zuñiga, J. (2024). Storage Location Assignment Problem in a Warehouse: A Literature Review. In: Marmolejo-Saucedo, J.A., Rodríguez-Aguilar, R., Vasant, P., Litvinchev, I., Retana-Blanco, B.M. (eds) Computer Science and Engineering in Health Services. COMPSE 2022. EAI/Springer Innovations in Communication and Computing. Springer, Cham. https://doi.org/10.1007/978-3-031-34750-4_2

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Anatomy of an AI Essay

How might you distinguish one from a human-composed counterpart? After analyzing dozens, Elizabeth Steere lists some key, rather predictable features.

By  Elizabeth Steere

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Since OpenAI launched ChatGPT in 2022, educators have been grappling with the problem of how to recognize and address AI-generated writing. The host of AI-detection tools that have emerged over the past year vary greatly in their capabilities and reliability. For example, mere months after OpenAI launched its own AI detector, the company shut it down due to its low accuracy rate.

Understandably, students have expressed concerns over the possibility of their work receiving false positives as AI-generated content. Some institutions have disabled Turnitin’s AI-detection feature due to concerns over potential false allegations of AI plagiarism that may disproportionately affect English-language learners . At the same time, tools that rephrase AI writing—such as text spinners, text inflators or text “humanizers”—can effectively disguise AI-generated text from detection. There are even tools that mimic human typing to conceal AI use in a document’s metadata.

While the capabilities of large language models such as ChatGPT are impressive, they are also limited, as they strongly adhere to specific formulas and phrasing . Turnitin’s website explains that its AI-detection tool relies on the fact that “GPT-3 and ChatGPT tend to generate the next word in a sequence of words in a consistent and highly probable fashion.” I am not a computer programmer or statistician, but I have noticed certain attributes in text that point to the probable involvement of AI, and in February, I collected and quantified some of those characteristics in hopes to better recognize AI essays and to share those characteristics with students and other faculty members.

I asked ChatGPT 3.5 and the generative AI tool included in the free version of Grammarly each to generate more than 50 analytical essays on early American literature, using texts and prompts from classes I have taught over the past decade. I took note of the characteristics of AI essays that differentiated them from what I have come to expect from their human-composed counterparts. Here are some of the key features I noticed.

AI essays tend to get straight to the point. Human-written work often gradually leads up to its topic, offering personal anecdotes, definitions or rhetorical questions before getting to the topic at hand.

AI-generated essays are often list-like. They may feature numbered body paragraphs or multiple headings and subheadings.

The paragraphs of AI-generated essays also often begin with formulaic transitional phrases. As an example, here are the first words of each paragraph in one essay that ChatGPT produced:

  • “In contrast”
  • “Furthermore”
  • “On the other hand”
  • “In conclusion.”

Notably, AI-generated essays were far more likely than human-written essays to begin paragraphs with “Furthermore,” “Moreover” and “Overall.”

AI-generated work is often banal. It does not break new ground or demonstrate originality; its assertions sound familiar.

AI-generated text tends to remain in the third person. That’s the case even when asked a reader response–style question. For example, when I asked ChatGPT what it personally found intriguing, meaningful or resonant about one of Edgar Allan Poe’s poems, it produced six paragraphs, but the pronoun “I” was included only once. The rest of the text described the poem’s atmosphere, themes and use of language in dispassionate prose. Grammarly prefaced its answer with “I’m sorry, but I cannot have preferences as I am an AI-powered assistant and do not have emotions or personal opinions,” followed by similarly clinical observations about the text.

AI-produced text tends to discuss “readers” being “challenged” to “confront” ideologies or being “invited” to “reflect” on key topics. In contrast, I have found that human-written text tends to focus on hypothetically what “the reader” might “see,” “feel” or “learn.”

AI-generated essays are often confidently wrong. Human writing is more prone to hedging, using phrases like “I think,” “I feel,” “this might mean …” or “this could be a symbol of …” and so on.

AI-generated essays are often repetitive. An essay that ChatGPT produced on the setting of Rebecca Harding Davis’s short story “Life in the Iron Mills” contained the following assertions among its five brief paragraphs: “The setting serves as a powerful symbol,” “the industrial town itself serves as a central aspect of the setting,” “the roar of furnaces serve as a constant reminder of the relentless pace of industrial production,” “the setting serves as a catalyst for the characters’ struggles and aspirations,” “the setting serves as a microcosm of the larger societal issues of the time,” and “the setting … serves as a powerful symbol of the dehumanizing effects of industrialization.”

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AI writing is often hyperbolic or overreaching. The quotes above describe a “powerful symbol,” for example. AI essays frequently describe even the most mundane topics as “groundbreaking,” “vital,” “esteemed,” “invaluable,” “indelible,” “essential,” “poignant” or “profound.”

AI-produced texts frequently use metaphors, sometimes awkwardly. ChatGPT produced several essays that compared writing to “weaving” a “rich” or “intricate tapestry” or “painting” a “vivid picture.”

AI-generated essays tend to overexplain. They often use appositives to define people or terms, as in “Margaret Fuller, a pioneering feminist and transcendentalist thinker, explored themes such as individualism, self-reliance and the search for meaning in her writings …”

AI-generated academic writing often employs certain verbs. They include “delve,” “shed light,” “highlight,” “illuminate,” “underscore,” “showcase,” “embody,” “transcend,” “navigate,” “foster,” “grapple,” “strive,” “intertwine,” “espouse” and “endeavor.”

AI-generated essays tend to end with a sweeping broad-scale statement. They talk about “the human condition,” “American society,” “the search for meaning” or “the resilience of the human spirit.” Texts are often described as a “testament to” variations on these concepts.

AI-generated writing often invents sources. ChatGPT can compose a “research paper” using MLA-style in-text parenthetical citations and Works Cited entries that look correct and convincing, but the supposed sources are often nonexistent. In my experiment, ChatGPT referenced a purported article titled “Poe, ‘The Fall of the House of Usher,’ and the Gothic’s Creation of the Unconscious,” which it claimed was published in PMLA , vol. 96, no. 5, 1981, pp. 900–908. The author cited was an actual Poe scholar, but this particular article does not appear on his CV, and while volume 96, number 5 of PMLA did appear in 1981, the pages cited in that issue of PMLA actually span two articles: one on Frankenstein and one on lyric poetry.

AI-generated essays include hallucinations. Ted Chiang’s article on this phenomenon offers a useful explanation for why large language models such as ChatGPT generate fabricated facts and incorrect assertions. My AI-generated essays included references to nonexistent events, characters and quotes. For example, ChatGPT attributed the dubious quote “Half invoked, half spontaneous, full of ill-concealed enthusiasms, her wild heart lay out there” to a lesser-known short story by Herman Melville, yet nothing resembling that quote appears in the actual text. More hallucinations were evident when AI was generating text about less canonical or more recently published literary texts.

This is not an exhaustive list, and I know that AI-generated text in other formats or relating to other fields probably features different patterns and tendencies . I also used only very basic prompts and did not delineate many specific parameters for the output beyond the topic and the format of an essay.

It is also important to remember that the attributes I’ve described are not exclusive to AI-generated texts. In fact, I noticed that the phrase “It is important to … [note/understand/consider]” was a frequent sentence starter in AI-generated work, but, as evidenced in the previous sentence, humans use these constructions, too. After all, large language models train on human-generated text.

And none of these characteristics alone definitively point to a text having been created by AI. Unless a text begins with the phrase “As an AI language model,” it can be difficult to say whether it was entirely or partially generated by AI. Thus, if the nature of a student submission suggests AI involvement, my first course of action is always to reach out to the student themselves for more information. I try to bear in mind that this is a new technology for both students and instructors, and we are all still working to adapt accordingly.

Students may have received mixed messages on what degree or type of AI use is considered acceptable. Since AI is also now integrated into tools their institutions or instructors have encouraged them to use—such as Grammarly , Microsoft Word or Google Docs —the boundaries of how they should use technology to augment human writing may be especially unclear. Students may turn to AI because they lack confidence in their own writing abilities. Ultimately, however, I hope that by discussing the limits and the predictability of AI-generated prose, we can encourage them to embrace and celebrate their unique writerly voices.

Elizabeth Steere is a lecturer in English at the University of North Georgia.

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Exciting Seattle Mariners' Reliever Gets Timeline For When He'll Start Rehab Assignment

Brady farkas | jun 29, 2024.

Chicago White Sox relief pitcher Gregory Santos (60) celebrates a win against the Chicago Cubs at Wrigley Field in 2023.

  • Seattle Mariners

Seattle Mariners ' relief pitcher Gregory Santos took another major step forward in his recovery on Friday afternoon and it's led to some exciting news.

After throwing a 21-pitch live session at T-Mobile Park, we now know when Santos will begin his rehab assignment. He's been out all year with a lat issue.

Per @LookoutLanding on social media:

Justin Hollander says Gregory Santos will start a rehab assignment with Tacoma July 2nd

Justin Hollander says Gregory Santos will start a rehab assignment with Tacoma July 2nd — Lookout Landing (@LookoutLanding) June 28, 2024

Considering that Santos hasn't played in any games at all this year (he was injured in spring training), it's surprising to see him instantly come out of the gate at Triple-A, but Single-A Everett is on the road that day, so maybe this is just more about reducing travel than level of competition. Tacoma is home that day against Salt Lake City.

Given that Santos has been out all year, he'll require a lengthy rehab assignment that will have many more boxes to check. He'll need to show that he can throw all of his pitches, work on back-to-back days and show the ability to recover without discomfort. There has been hope that he'd be able to join the M's in July and that looks possible still at this point if everything goes well.

If and when Santos is able to join the team, he'll add another dimension to the back end of the bullpen for manager Scott Servais. He features an upper-90s fastball and has a ton of movement.

Here's what Ryan Bliss had to say after facing Bliss on Friday, per Curtis Crabtree:

Ryan Bliss faced Santos both in Tampa and here today and spoke highly of his stuff, especially his sinker. “It’s 98 with splitter movement. You just don’t see that. The ball drops out of nowhere. You don’t really see it. It’s something unique and it’s a really good pitch.”

Ryan Bliss faced Santos both in Tampa and here today and spoke highly of his stuff, especially his sinker. “It’s 98 with splitter movement. You just don’t see that. The ball drops out of nowhere. You don’t really see it. It’s something unique and it’s a really good pitch.” https://t.co/YY9OKLFh2V — Curtis Crabtree (@Curtis_Crabtree) June 28, 2024

The Mariners will play the Twins again on Saturday night at 7:10 p.m. PT.

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Two years after Roe was struck down, the conversation has focused on the complications that can come with pregnancy and fertility, helping to drive more support for abortion rights.

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    With real-time feedback, you can be confident your assignment will make the grade. Grammarly makes sure every assignment and paper is clear, effective, and mistake-free.

  2. PDF THE OPTIMAL ASSIGNMENT PROBLEM A Thesis Presented to the Division of

    The problem in this work will consider the case n=k. Mathematically stated the assignment problem is as follows: Let R be an n x n matrix with positive integer entries. The optimal assignment problem consists of choosing n entries, so that no two chosen entries come from the same row or column and such that the sum of the entries is maximized.

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    Thus this specific thesis is devoted to analyze and find the optimum value of the assignment problem using different approaches so as to get the minimum cost or maximum profit either way. In all these approaches, it is to be remembered that costs/profits are considered as imprecise numbers. ... Assignment problem is a combinatorial optimization ...

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    Assignment problem arises in diverse situations, where one needs to determine an optimal way to assign n subjects to m subjects in the best possible way. With that, this paper classified ...

  5. The Assignment Problem: Theory and Experiments

    In this thesis I consider the problem of assigning a fixed and heterogeneous set of goods or services to a fixed set of individuals. I analyze this allocation problem with and without the use of monetary transfers to allocate good. There are many applications in the literature associated with this problem. The usual approach to this problem has ...

  6. The multi-modal traffic assignment problem

    Thesis. 1979. Ph.D.--Massachusetts Institute of Technology. Alfred P. Sloan School of Management. MICROFICHE COPY AVAILABLE IN ARCHIVES AND DEWEY. ... The multi-modal traffic assignment problem. Author(s) Aashtiani, Hedayat Zokaei. DownloadFull printable version (5.512Mb) Advisor. Thomas L. Magnanti.

  7. PDF On Approximation Methods for the Assignment Problem*

    Definition of Assignment Problem. The statement of the assignment problem is as follows: There are n men and n jobs, with a cost c, for assigning man i to job j. It is required to assign all men to jobs such that one and only one man is assigned to each job and the total cost of the assignments is minimal.

  8. Solving the Unbalanced Assignment Problem: Simpler Is Better

    The assignment problem (AP) is a well-known optimization problem that deals with the allocation of 'n' jobs to 'n' machines on a 1-to-1 basis. It minimizes the cost/time or maximizes the profit ...

  9. The assignment problem

    This Dissertation/Thesis is brought to you for free and open access by the Undergraduate Research & Artistry at Huskie Commons. It has been accepted for inclusion in Honors Capstones by an authorized administrator of ... Inthis assignment problem, mmustbeequal ton. Therefore, the matrix issquare. Thenumberofsolution variables inthe assignment ...

  10. PDF A SURVEY OF THE QUADRATIC ASSIGNMENT PROBLEM, WITH APPLICATIONS By

    linear assignment problem (LAP) and the quadratic assignment problem (QAP) will be given. The latter being a more complicated generalization of the former, and the topic of this thesis. An explanation of the key differences between the two aforementioned problems will be given. The author feels that providing such an introduction will help

  11. PDF A BRANCH AND BOUND PROCEDURE FOR THE SPARSE ASSIGNMENT PROBLEM A THESIS By

    ASSIGNMENT PROBLEM A THESIS Presented to The Faculty of the Division .of'Graduate Studies By William Russell Wentz In Partial Fulfillment ... sparse assignment problems, it would have to be modified to operate directly on a network representing only the viable assignment pairs. Recently, Glover et^ aj_. (11,12), Bradley et al. (5) and Langley

  12. PDF DOUBLY STOCHASTIC MATRICES AND THE ASSIGNMENT PROBLEM

    thesis, namely the Birkho and von Neumann theorem, which will be pre-sented in chapter 5 together with two di erent proofs, the rst one based on matrix notation whereas the second proof is taking a graph approach. The secondary problem of this thesis, is a version of the assignment problem with

  13. The U.S. Army Officer-to-Unit Assignment Problem

    ASSIGNMENT PROBLEM THESIS Andrea L. Phillips, Second Lieutenant, USAF AFIT-ENS-MS-23-M-151 DEPARTMENT OF THE AIR FORCE AIR UNIVERSITY. AIR FORCE INSTITUTE OF TECHNOLOGY. Wright-Patterson Air Force Base, Ohio DISTRIBUTION STATEMENT A APPROVED FOR PUBLIC RELEASE; DISTRIBUTION UNLIMITED.

  14. Dissertations / Theses: 'The assignment problem'

    Consult the top 50 dissertations / theses for your research on the topic 'The assignment problem.'. Next to every source in the list of references, there is an 'Add to bibliography' button. Press on it, and we will generate automatically the bibliographic reference to the chosen work in the citation style you need: APA, MLA, Harvard, Chicago ...

  15. PDF The Tail Assignment Problem

    The Aircraft Assignment problem is the problem of assigning flights to aircraft in such a way that some operational constraints are satisfied, and possibly that some objective function is optimized. We propose an approach to aircraft assignment which captures all op-erational constraints, including minimum connection times, airport curfews,

  16. PDF The Frequency Assignment Problem

    The Frequency Assignment Problem Angela Erika Koller Submitted for the degree of Doctor of Philosophy 2004 Abstract This thesis examines a wide collection of frequency assignment problems. One of the largest topics in this thesis is that of L(2,1)-labellings of outerplanar graphs.

  17. PDF Solving The Assignment Problems Directly Without Any Iterations

    The assignment problem is a standard topic discussed in operations research textbooks [8] and [10]. It is an important subject, put forward immediately after the transportation problem, is the assignment problem. This is particularly important in the theory of decision making. The assignment problem is one of the earliest

  18. Assignment problems and their application in economics

    Four assignment problems are introduced in this thesis, and they are approached based on the context they are presented in. The underlying graphs of the assignment problems in this thesis are in most cases bipartite graphs with two sets of vertices corresponding to the agents and the resources. An edge might show the interest of an agent in a resource or willingness of a manufacturer to ...

  19. How to Write a Problem Statement for a Thesis

    For example, you might write the following statement to contextualize your research on the negative effects of online learning on the mental health of high school students: Example 1: Mental health issues among students have been an increasing concern and hence a crucial matter to investigate. Example 2:

  20. MULTIDIMENSIONAL ASSIGNMENT PROBLEMS

    Each of the many two-dimensional variations of the classical assignment problem has at least one counterpart in higher dimensions. This paper is a tutorial on these higher dimensional assignment models and their applications. It is a synthesis of a vast literature scattered throughout a great variety of journal articles and other miscellaneous ...

  21. (PDF) STAFF ASSIGNMENT PROBLEM

    1.2 PROBLEM STATEMENT The specific form of problem that this thesis seeks to solve is to mathematically model a company's staff job placement problem as an assignment problem and solve the problem. Assignment problem is a special type of transportation problem which is also a resource allocation problem.

  22. Dissertations / Theses: 'Assignment problem'

    List of dissertations / theses on the topic 'Assignment problem'. Scholarly publications with full text pdf download. Related research topic ideas.

  23. Thesis

    Thesis. Your thesis is the central claim in your essay—your main insight or idea about your source or topic. Your thesis should appear early in an academic essay, followed by a logically constructed argument that supports this central claim. A strong thesis is arguable, which means a thoughtful reader could disagree with it and therefore ...

  24. Storage Location Assignment Problem in a Warehouse: A ...

    The storage location assignment problem (SLAP) is an important step when we are designing a warehouse layout, and this step influences in the arranging, picking process, sorting, ... Frazelle, E.H.: Stock location assignment and order picking productivity. PhD Thesis, Georgia Institute of Technology (1989) Google Scholar

  25. Ways to distinguish AI-composed essays from human-composed ones (opinion)

    Since OpenAI launched ChatGPT in 2022, educators have been grappling with the problem of how to recognize and address AI-generated writing. The host of AI-detection tools that have emerged over the past year vary greatly in their capabilities and reliability. For example, mere months after OpenAI launched its own AI detector, the company shut it down due to its low accuracy rate.

  26. Exciting Seattle Mariners' Reliever Gets Timeline For When He'll Start

    After being out all season with a lat problem, we now know when Seattle Mariners' reliever Gregory Santos will start his rehab assignment. Brady Farkas | Jun 29, 2024

  27. Abortion Rights Debate Shifts to Pregnancy and Fertility as Election

    Two years after Roe was struck down, the conversation has focused on the complications that can come with pregnancy and fertility, helping to drive more support for abortion rights.