A new adaptive mutative scale chaos optimization algorithm and its application
Jiaqiang E
Chunhua WANG
Yaonan WANG
Jinke GONG
摘要：Based on results of chaos characteristics comparing one-dimensional iterative chaotic self-map x=sin(2/x)with infinite collapses within the finite region[-1,1] to some representative iterative chaotic maps with finite collapses(e.g.,Logistic map,Tent map,and Chebyshev map),a new adaptive mutative scale chaos optimization algorithm (AMSCOA)is proposed by using the chaos model x=sin(2/x).In the optimization algorithm,in order to ensure its advantage of speed convergence and high precision in the seeking optimization process,some measures are taken:1)the searching space of optimized variables is reduced continuously due to adaptive mutative scale method and the searching precision is enhanced accordingly;2)the most circle time is regarded as its control guideline.The calculation examples about three testing functions reveal that the adaptive mutative scale chaos optimization algorithm has both high searching speed and precision.
机标关键词：
分类号：TP3(计算技术、计算机技术)
资助基金：湖南省自然科学基金(06JJ50103)国家自然科学基金(60375001)
论文发表日期：2008-01-01
在线出版日期：2025-08-15（本平台首次上网日期，不代表文献的发表时间）
页数：5( 141-145 )
英文信息