Improved Adaptive Chaotic Differential Evolution Algorithm
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    Abstract:

    In order to improve the differential evolution algorithm for optimum speed and overcome the heuristic algorithm common premature convergence problem is proposed based on a Tent mapping (Tent) of adaptive chaotic embedded differential evolution algorithm (CLSDE). Tent mapping algorithm using of the generation of chaotic sequence to replace basic DE algorithm to select the operation of the random, and make full use of the chaotic motions of the randomness, ergodicity and regularity, so it can smooth out the problem of local precocious and rapid speed up its global convergence speed. Through the and chaos PSO algorithm and the ordinary DE comparison algorithm, the simulation results show that the new algorithm in the solution precision, stability and convergence borrows and good performance.

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王涛,王焕.改进的自适应混沌差分进化算法.计算机系统应用,2013,22(2):138-141

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  • Received:August 04,2012
  • Revised:September 23,2012
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