Performance Improvement of Hybrid Real-Coded Genetic Algorithm with Local Search and Its Applications

Authors:
Hong Zhang;Masumi Ishikawa
Affiliations:
Kyushu Institute of Technology, Japan;Kyushu Institute of Technology, Japan
Venue:
CIMCA '05 Proceedings of the International Conference on Computational Intelligence for Modelling, Control and Automation and International Conference on Intelligent Agents, Web Technologies and Internet Commerce Vol-1 (CIMCA-IAWTIC'06) - Volume 01
Year:
2005

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Abstract

We have already proposed a hybrid real-coded genetic algorithm with local search (HRGA/LS) for improving the search performance of a real-coded genetic algorithm. To further improve the search performance of HRGA/LS, this paper proposes to use the blend crossover, BLX-.., instead of simple crossover. It is expected to find still better solutions by increasing the diversity of generated individuals. Simulation experiments elucidate the characteristics of group search of HRGA/LS with BLX-.., and demonstrate that the proposed method vastly improves search performance.