Journal of Heuristics

, Volume 8, Issue 5, pp 503–514

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

  • Uwe Aickelin
  • Kathryn A. Dowsland

DOI: 10.1023/A:1016536623961

Cite this article as:
Aickelin, U. & Dowsland, K.A. Journal of Heuristics (2002) 8: 503. doi:10.1023/A:1016536623961


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.

genetic algorithmscombinatorial optimisationheuristicsscheduling

Copyright information

© Kluwer Academic Publishers 2002

Authors and Affiliations

  • Uwe Aickelin
    • 1
  • Kathryn A. Dowsland
    • 2
  1. 1.University of the West of EnglandBristolUK
  2. 2.European Business Management SchoolUniversity of Wales SwanseaSwanseaUK