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

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2 Author(s)
Hong Zhang ; Dept. of Brain Sci. & Eng., Kyushu Inst. of Technol., Kitakyushu ; Ishikawa, M.

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-alpha, 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-alpha, and demonstrate that the proposed method vastly improves search performance

Published in:

Computational Intelligence for Modelling, Control and Automation, 2005 and International Conference on Intelligent Agents, Web Technologies and Internet Commerce, International Conference on  (Volume:1 )

Date of Conference:

28-30 Nov. 2005