Phd thesis genetic algorithm

Phd thesis genetic algorithm

Writers Per Hour is an essay writing service that can help you with all your essay writing needs. We understand you need help now with quick essay paper writing and we Genetic Algorithm Phd Thesis are at your service, delivering you % custom essays. We’re not just any essay Genetic Algorithm Phd Thesis website Herath, Achini Kumari, "Genetic Algorithm For University Course Timetabling Problem" (). Electronic Theses and Dissertations. blogger.com This Thesis is brought to you for free and open access by the Graduate School at eGrove. It has been accepted forCited by: 3 Thanks for your time. Please select your area of feedback. Questions concerning the deposit of theses in Spectrum can be directed to the Thesis Office, at ext. or and at thesis@blogger.com; For other questions please contact Spectrum editors at lib-spectrum@blogger.com; Give feedback about the libraries' spaces, services, and/or collections

Phd Thesis Genetic Algorithm

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ScholarsArchive OSU. Home About Help Contact Search Phd thesis genetic algorithm OSU Go. Advanced Search. Home Graduate Thesis Or Dissertation. A genetic algorithm for the vehicle routing problem with heterogeneous vehicles from multiple depots, allowing multiple visits Public Deposited. Downloadable Content Download PDF. Citations: EndNote MLA APA Chicago.

Copy link. Vehicles can be unused. The problem involves optimizing the routes for all vehicles which are phd thesis genetic algorithm serve a certain number of customers from multiple depots, allowing multiple visits. These conditions are generalized from the classical VRPs, which only involve one depot and one visit to each customer. The VRP is one of combinatorial optimization problems which are difficult to obtain an optimal solution through the classical optimization methods phd thesis genetic algorithm to the high computational complexity.

The GA is a randomized global search algorithm to solve problems by imitating processes observed during natural evolution. It has been a widespread application to various combinatorial optimization problems such as traveling salesman problem, scheduling problem and VRP.

The performance of GA is subject to the process parameters such as population size, crossover rate, termination condition, and mutation policy. For the generalized VRP under considerations, phd thesis genetic algorithm, the influences of the process parameters in the proposed GA are examined by Taguchi method which is known as a robust design tool for optimizing the process parameters.

The proposed GA is the first effort to solve the generalized VRP, which allows the multiple depots, multiple visits and heterogeneous vehicles. A real-life example problem of 35 US cities and 3 depots has been proposed to measure the performance of the proposed GA. In addition, 4 benchmark problems from the prior works only allowing one depot, one visit and homogeneous vehicles has been tested. The proposed GA outperforms the prior works by generating the equal to or the better solutions than the best known solutions.

The computational results obtained from the performance comparisons show that the proposed GA is an effective and feasible method for solving the VRP with heterogeneous vehicles from multiple depots, allowing multiple visits to customers. Degree Field Industrial Engineering Degree Grantor Oregon State University Commencement Year Advisor Lee, Shiwoo Committee Member Atre, Sundar Nguyen, Thinh Wu, Zhaohui Academic Affiliation Industrial and Manufacturing Engineering Non-Academic Affiliation Oregon State University.

provenance : Approved for entry into archive by Laura Wilson laura. wilson oregonstate, phd thesis genetic algorithm. edu on TZ GMT No. pdf: bytes, checksum: c10bc55d95affd0dab8fbf MD5 phd thesis genetic algorithm. provenance : Made available in DSpace on TZ GMT, phd thesis genetic algorithm.

provenance : Approved for entry into archive by Julie Kurtz julie. kurtz oregonstate. provenance : Submitted by Hyunpae Lim limh onid. edu on TZ No. pdf: bytes, checksum: c10bc55d95affd0dab8fbf MD5. Relationships Parents: This work has no parents. pdf Public Press to Select an action Download. Lim, Hyunpae. In the thesis, an application of a genetic algorithm GA is considered to solve the vehicle routing problem VRP which involves heterogeneous vehicles to serve known customer demands from multiple depots achieving the minimum delivery cost, where each customer must be satisfied by one or more visit sand each vehicle must make at most one visit to any particular customer, phd thesis genetic algorithm.

All rights reserved. Masters Thesis. Master of Science M. Industrial Engineering. Oregon State University. Lee, Shiwoo. Atre, Sundar Nguyen, Thinh Wu, Zhaohui. Industrial and Manufacturing Engineering. Graduate School. Genetic algorithms Trucks -- Routes -- Mathematical models Delivery of goods -- Mathematical models. In Copyright. English [eng].

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Tutorial : Introduction to Genetic Algorithm n application on Traveling Sales Man Problem (TSP)

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