EVALUATION OF THE VRP COMPLETION WITH DEVELOPING HYBRID GENETIC ALGORITHM USING FUZZY LOGIC CONTROLLER MODEL

Yogi Yogaswara, DS (2013) EVALUATION OF THE VRP COMPLETION WITH DEVELOPING HYBRID GENETIC ALGORITHM USING FUZZY LOGIC CONTROLLER MODEL. Proceeding, International Seminar on Industrial Engineering and Management, 2013 (6). pp. 44-53. ISSN 1978-774X

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Abstract

This study discusses the results of modified Vehicle Routing Problem calculation using Hybrid Genetic Algorithm (HGA). It is shown that by modifying the Genetic Algorithm can provide good and effective solution. The results obtained were compared with the Standard Genetic Algorithm (SGA) and Modified Genetic Algorithm (MGA) to various problems the size of the node. For medium number of nodes (scenario 2) MGA get good results, but the resulting solution in the case of a small number of nodes that actually leads to local optima. However, it can be determined that the HGA is better than SGA and MGA. It could be argued that all three models of the genetic algorithm is an effective algorithm, if used in the right conditions. Key words: Node, VRP, SGA, MGA, HGA, FLC Model,

Item Type:	Article
Subjects:	RESEARCH REPORT
Divisions:	Fakultas Teknik > Teknik Industri 2013
Depositing User:	Irwan Kustiawan
Date Deposited:	20 May 2016 06:26
Last Modified:	20 May 2016 06:26
URI:	http://repository.unpas.ac.id/id/eprint/3751

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