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A novel chaos optimization algorithm
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DOI：10.1007/s11042-016-3907-z.png)
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Abstract
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In this paper, by analyzing the best chaotic sequences generated by sixteen different chaotic maps, a novel chaos optimization algorithm is presented. It can intelligently base on different chaotic maps to select different strategies so as to map the chaotic variables into the optimization variables. For the proposed algorithm, the obtained best values, the run time, and the role of the first and the second stage search by using different chaotic maps are also analyzed and compared. The simulation results implemented on several classic test functions demonstrate that the proposed algorithm has a high performance and an outstanding efficiency.
Keywords:
Chaos
Optimization
Chaotic map
Optimization algorithm
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