A local genetic approach to multi-objective, facility layout problems with fixed aisles

A local genetic approach to multi-objective, facility layout problems with fixed aisles

0.00 Avg rating0 Votes
Article ID: iaor20083526
Country: United Kingdom
Volume: 45
Issue: 22
Start Page Number: 5243
End Page Number: 5264
Publication Date: Jan 2007
Journal: International Journal of Production Research
Authors: ,
Keywords: decision theory: multiple criteria, heuristics: genetic algorithms, heuristics: tabu search
Abstract:

We develop a new local genetic algorithm hybridized tabu search, to solve multi-criteria facility layout problems. Within these types of problems, we consider two objectives involving material handling costs and non-material relationship requirements according to the idea of systematic layout planning. Our focus is on a particular case which involves the explicit consideration of fixed aisles and transverse passageways between sections. Numerical experiments as well as comparative tests show the great effectiveness of the proposed method in dealing with multi-criteria facility layout problems up to some moderate scales.

Reviews

Required fields are marked *. Your email address will not be published.