gaussian mutation operator 高斯变异算子
Twice Gaussian mutation controlled the algorithm process. Inertia weight was adjusted dynamically.
该算法通过两次高斯变异控制算法进程,同时动态调节惯性权重。
参考来源 - 基于双变异算子的混合粒子群优化算法·2,447,543篇论文数据，部分数据来源于NoteExpress
Twice Gaussian mutation controlled the algorithm process. Inertia weight was adjusted dynamically.
该算法通过两次高斯变异控制算法进程，同时动态调节惯性权重。
The Elitist model is utilized to ensure the stable convergence, and the Gaussian mutation operator is used to enhance the local search ability around every peak value.
采用最优保存策略和高斯变异算子，保证算法的稳定收敛和提高算法在每个峰值附近的局部搜索能力。
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