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Enhanced direct and indirect genetic algorithm approaches for a mall layout and tenant selection problem

Aickelin, Uwe and Dowsland, Kathryn Anne 2002. Enhanced direct and indirect genetic algorithm approaches for a mall layout and tenant selection problem. Journal of heuristics 8 (5) , pp. 503-514. 10.1023/A:1016536623961

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Abstract

During our earlier research, it was recognised that in order to be successful with an indirect genetic algorithm approach using a decoder, the decoder has to strike a balance between being an optimiser in its own right and finding feasible solutions. Previously this balance was achieved manually. Here we extend this by presenting an automated approach where the genetic algorithm itself, simultaneously to solving the problem, sets weights to balance the components out. Subsequently we were able to solve a complex and non-linear scheduling problem better than with a standard direct genetic algorithm implementation.

Item Type: Article
Date Type: Publication
Status: Published
Schools: Mathematics
Uncontrolled Keywords: Genetic algorithms ; Combinatorial optimisation ; Heuristics ; Scheduling
Publisher: Kluwer Academic
ISSN: 15729397
Last Modified: 19 Mar 2016 22:04
URI: http://orca.cf.ac.uk/id/eprint/1791

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