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Aickelin, Uwe and Dowsland, Kathryn (2002) Enhanced Direct and Indirect Genetic Algorithm Approaches for a Mall Layout and Tenant Selection Problem. Journal of Heuristics, 8 (5). pp. 503-514.

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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
Additional Information:	The original publication is available at www.springerlink.com
Keywords:	Genetic algorithms, combinatorial optimisation, heuristics, scheduling
Schools/Departments:	University of Nottingham, UK > Faculty of Science > School of Computer Science
Depositing User:	Aickelin, Professor Uwe
Date Deposited:	09 Nov 2007 10:28
Last Modified:	31 May 2021 14:47
URI:	https://eprints.nottingham.ac.uk/id/eprint/615

Available Versions of this Item

• 'Enhanced Direct and Indirect Genetic Algorithm Approaches for a Mall Layout and Tenant Selection Problem'. (deposited 07 Nov 2005)
  • Enhanced Direct and Indirect Genetic Algorithm Approaches for a Mall Layout and Tenant Selection Problem. (deposited 09 Nov 2007 10:28) [Currently Displayed]
    • 'Enhanced Direct and Indirect Genetic Algorithm Approaches for a Mall Layout and Tenant Selection Problem'. (deposited 30 Oct 2007 14:02)

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