… ,结果表明相较于粒子群优化(PSO)算法,传统FA,莱维… operator and elite opposition-based
learning mechanism in the firefly optimization algorithm. Firstly, Levy flight was introduced based …

… disturbed by the diversity mutation operator in the process of the … optimization results are
compared with the PSO,GSA,GWO and … Opposition-based learning: A new scheme for machine …

… and uses random opposition-based learning strategy to … optimization algorithm based on
random opposition-based learning (… the multiplication and division operator, which improves the …

… mutation operator and the opposition-based learning strategy are combined to perform
disturbance mutation … 基于Logistic 映射的新型混沌简 化PSO 算法[J]. 计算机与现代化, 2019(12): 15…

… An optimized grey wolf optimizer based on a mutation operator and eliminating-reconstructing …
@article{title="An optimized grey wolf optimizer based on a mutation operator and …

… improved method based on the crossover operator and non-uni⁃ form mutation operator is
… the flame,the crossover operator and the muta⁃ tion operator are used to perturb the flame …

… GWO with opposition-learning and differential mutation (… and random differential mutation
operator are proposed, which … 狼朝着3个最优点趋近, 而PSO中所有粒子向着两个最优位置趋近, …

… and uses random opposition-based learning strategy to … algorithm based on random
opposition-based learning (… by the multiplication and division operators, which improves the …

… Population migration algorithm with Gaussian mutation and the steepest descent operator[J].
Computer Engineering and Applications, 2009, 45(20): 57-60(in Chinese). doi: 10.3778/j.…

… Abstract: The diversity of the population and the crossover operator algorithm play an
important role in solving global optimization problems in Differential Evolution (DE). The Multi-…