改进搜索机制的自适应 t 分布麻雀搜索算法

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Adaptive t-distribution sparrow search algorithm with improved searchmechanism

GAOSihui，WUKeqing，HEBin

（School ， ， ，）

Abstract：A self-adaptive t -distribution sparrow search algorithm with improved search mechanism （ATSSA） is proposed toaddress the shortcomings the sparrow search algorithm，which is prone to falling into localoptima relies on population initialization during the optimization processBernouli chaotic mapping is introduced to obtaina high-quality initial population; inspired by the fishing method the ospreyoptimization algorithm， the discoverer search mechanism is improved to enable the discoverer to exhibit greater flexibilityin the optimization process，thereby enhancing the exploration ability the algorithm；an adaptive t⋅ -distribution operator is introduced based on probability to perturb improve the convergence speed the algorithm; the golden sine strategy is adopted to change the position the alerter improve the convergence ability the algorithm.The performance the algorithm was validated through testing on14 benchmark functions Wilcoxon rank sum test. The research results show that ATSSA has good optimization performance robustness.

Keywords：sparow search algorithm （SSA）; Bernoulli chaotic mapping; osprey optimization algorithm; adaptive t-distribution;golden sine algorithm

0引言

针对实际优化问题，牛顿法[1]、共轭梯度法[2]等传统优化方法在解决复杂问题、高维非线性问题时存在局限性，容易陷入局部最优[3]。（剩余12193字）