• •
  Integrate optimization experience and Gaussian probability distributions for creating novel double mutation strategy.
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  A two-stage parameter self-adaptation scheme is designed to dynamically adjust key parameters.
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  An enhanced population size reduction mode is proposed for allowing elite individuals to undergo more evolutionary generations.
• •
  LSHADE-Csode is proposed for large scale global optimization problems.

從種群進(jìn)化角度進(jìn)行了研究，經(jīng)過(guò)兩年的時(shí)間，深入驗(yàn)證和分析了算法性能，與CEC競(jìng)賽排名最前的算法進(jìn)行了對(duì)比，整體上有新的突破，也存在一些問(wèn)題和產(chǎn)生新的研究角度，需要進(jìn)一步深化和分析。