A hybrid genetic algorithm with decomposition phases for the Unequal Area Facility Layout Problem
详细信息 查看全文
- 作者：Frederico Galaxe Paes ; a ; fpaes@iff.edu.br" class="auth_mail" title="E-mail the corresponding author ; Artur Alves Pessoab ; artur@producao.uff.br" class="auth_mail" title="E-mail the corresponding author ; Thibaut Vidalc ; vidalt@inf.puc-rio.br" class="auth_mail" title="E-mail the corresponding author
- 关键词：Facility layout ; Genetic algorithm ; Hybrid metaheuristics ; Decomposition strategies
- 刊名：European Journal of Operational Research
- 出版年：2017
- 出版时间：1 February 2017
- 年：2017
- 卷：256
- 期：3
- 页码：742-756
- 全文大小：1316 K
文摘
- class="listitem" id="list_celist0003">
- class="label">•
We consider the unequal area facility location problem with soft or hard dimensions.
- class="label">•
We introduce two efficient hybrid genetic algorithms.
- class="label">•
We use a decomposition strategy with partial solution deconstructions and reconstructions.
- class="label">•
Structural constraints are imposed on the solutions to enhance the decomposition phases.
- class="label">•
Solutions of excellent quality are obtained for medium- and large-scale instances.