A Hybrid Optimization Algorithm Based on Nested Intervals Chaos Search
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摘要: 基于對Logistic映射混沌變量概率分布的研究,提出了一種區間套混沌搜索方法,避免了混沌搜索的盲目性.將區間套混飩搜索方法與共軛梯度法結合,提出了一種混合優化方法,利用區間套混沌搜索方法搜索到近似最優點,再用共軛梯度法求得最優點.數值計算結果表明,該方法可顯著提高優化效率.Abstract: Based on the study of statistic property of Logistic map,the nested intervals chaos search is proposed to avoid the blindness of chaos search.By combining the nested intervals chaos search with conjugate gradient approach,a hybrid optimization algorithm is given.The hybrid algorithm uses the nested intervals cha-os search to find the approximal point of the global minimum and uses conjugate gradient approach to find the global minimum.The simulation shows that the proposed hybrid optimization algorithm can significantly im-prove the computational efficiency of global optimization.
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Key words:
- optimization /
- nested intervals /
- chaos search /
- conjugate gradient algorithm
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