团队研究设计的双阶段差分进化算法在中科院1区Swarm and Evolutionary Computation 发表
来源: Haibin Ouyang/
广州大学
161
3
0
2025-01-19

Swarm and Evolutionary Computation

Dual-stage self-adaptive differential evolution with complementary and ensemble mutation strategies

Highlights

  • Integrate optimization experience and Gaussian probability distributions for creating novel double mutation strategy.
  • A two-stage parameter self-adaptation scheme is designed to dynamically adjust key parameters.
  • 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.

 

从种群进化角度进行了研究,经过两年的时间,深入验证和分析了算法性能,与CEC竞赛排名最前的算法进行了对比,整体上有新的突破,也存在一些问题和产生新的研究角度,需要进一步深化和分析。

 

 


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