'Enhanced Direct and Indirect Genetic Algorithm Approaches for a Mall Layout and Tenant Selection Problem'

Aickelin, Uwe; Dowsland, Kathryn

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.

Citation

Aickelin, U., & Dowsland, K. (2002). 'Enhanced Direct and Indirect Genetic Algorithm Approaches for a Mall Layout and Tenant Selection Problem'. Journal of Heuristics, 8(5), https://doi.org/10.1023/A%3A1016536623961

• Journal Article Type: Article
• Publication Date: Jan 1, 2002
• Deposit Date: Oct 30, 2007
• Publicly Available Date: Oct 30, 2007
• Journal: Journal of Heuristics
• Print ISSN: 1381-1231
• Publisher: Springer Verlag
• Peer Reviewed: Peer Reviewed
• Volume: 8
• Issue: 5
• DOI: https://doi.org/10.1023/A%3A1016536623961
• Keywords: Genetic algorithms, combinatorial optimisation, heuristics, scheduling
• Public URL: https://nottingham-repository.worktribe.com/output/1022670
• Publisher URL: http://www.springerlink.com/content/njmmum0cuh6xc92l/
• Additional Information: The original publication is available at www.springerlink.com