A real-coded predator-prey genetic algorithm for multiobjective optimization

Li, X 2003, 'A real-coded predator-prey genetic algorithm for multiobjective optimization', in Proceedings of the 2nd International Conference on Evolutionary Multi-criterion Optimisation, Faro, Portugal, 8-11 April 2003, pp. 207-221.


Document type: Conference Paper
Collection: Conference Papers

Title A real-coded predator-prey genetic algorithm for multiobjective optimization
Author(s) Li, X
Year 2003
Conference name International Conference on Evolutionary Multi-criterion Optimisation
Conference location Faro, Portugal
Conference dates 8-11 April 2003
Proceedings title Proceedings of the 2nd International Conference on Evolutionary Multi-criterion Optimisation
Publisher Springer
Place of publication Berlin, Germany
Start page 207
End page 221
Abstract This paper proposes a real-coded predator-prey GA for multiobjective optimization (RCPPGA). The model takes its inspiration from the spatial predator-prey dynamics observed in nature. RCPPGA differs itself from previous similar work by placing a specific emphasis on introducing a dynamic spatial structure to the predator-prey population. RCPPGA allows dynamic changes of the prey population size depending on available space and employs a BLX-α crossover operator that encourages a more self-adaptive search. Experiments using two different fitness assignment methods have been carried out, and the results are compared with previous related work. Although RCPPGA does not employ elitism explicitly (such as using an external archive), it has been demonstrated that given a sufficiently large lattice size, RCPPGA can consistently produce and maintain a diverse distribution of nondominated optimal solutions along the Pareto-optimal front even after many generations.
Subjects Neural, Evolutionary and Fuzzy Computation
DOI - identifier 10.1007/3-540-36970-8_15
Copyright notice © Springer-Verlag Berlin Heidelberg 2003
ISBN 9783540018698
Versions
Version Filter Type
Altmetric details:
Access Statistics: 306 Abstract Views  -  Detailed Statistics
Created: Thu, 01 Apr 2010, 11:34:28 EST by Catalyst Administrator
© 2014 RMIT Research Repository • Powered by Fez SoftwareContact us