A hybrid genetic algorithm based on mutative scale chaos optimization strategy |
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| Affiliation: | 1. School of Information Science and Engineering, Jinan University, Jinan 250022, China;Information Engineering School, University of Science and Technology Beijing, Beijing 100083, China;2. School of Science, Jinan University, Jinan 250022, China;3. Information Engineering School, University of Science and Technology Beijing, Beijing 100083, China |
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| Abstract: | In order to avoid such problems as low convergent speed and local optimal solution in simple genetic algorithms, a new hybrid genetic algorithm is proposed. In this algorithm, a mutative scale chaos optimization strategy is operated on the population after a genetic operation. And according to the searching process, the searching space of the optimal variables is gradually diminished and the regulating coefficient of the secondary searching process is gradually changed which will lead to the quick evolution of the population. The algorithm has such advantages as fast search, precise results and convenient using etc. The simulation results show that the performance of the method is better than that of simple genetic algorithms. |
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| Keywords: | genetic algorithm chaos mutative scale optimization |
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