Genetic Algorithms and Mathematical Models in Manpower Allocation and Cell Loading Problem

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Title:	Genetic Algorithms and Mathematical Models in Manpower Allocation and Cell Loading Problem
Author:	Babayigit, Cihan
Description:	Several solutions to the cell loading problem have been reported in the literature. However, Manpower Allocation and Cell Loading (MACL) problem is relatively new. Therefore, this thesis focuses on these issues. This study not only analyzes the MACL problem with a mathematical model and genetic algorithm (GA) but also it extends the mathematical model to include the number of tardy jobs concept and also adds original aspects, Multiple League and Extreme League, to the traditional GA methods. The objective of this thesis is to solve the MACL problem by both mathematical models and genetic algorithms and then compare the results in some cases. Results show that original methods in GA outperform the traditional methods in some cases. GA finds optimal or near optimal solutions much faster than a mathematical model does especially in large problems.
Permanent Link:	http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1079298235 http://hdl.handle.net/2374.OX/14923
Date:	2004

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