6th Annual International Conference on Industrial Engineering and Operations Management

Evaluations of Crossover and Mutation Probability of Genetic Algorithm in an Optimal Facility Layout Problem

Maricar Navarro
Publisher: IEOM Society International
0 Paper Citations
1 Views
1 Downloads
Track: Artificial Intelligence
Abstract

Facility Layout Problem (FLP) is logic based combinatorial optimization problem. It is a meta-heuristic solution approach that gained significant attention to obtained optimal facility layout. This paper examines the convergence analysis by changing the crossover and mutation probability in an optimal facility layout. This algorithm is based on appropriate techniques that include multipoint swapped crossover and swap mutation operators. Two test cases were used for the implementations of the said technique and evaluate the robustness of the proposed method compared to other approaches in the literature.

Published in: 6th Annual International Conference on Industrial Engineering and Operations Management, Kuala Lumpur, Malaysia

Publisher: IEOM Society International
Date of Conference: March 8-10, 2016

ISBN: 978-0-9855497-4-9
ISSN/E-ISSN: 2169-8767