【摘要】 通过对混沌映射初始化种群和自适应调整搜索策略对鲸鱼优化算法(WOA)改进,提出了仿生策略优化的鲸鱼算法(BWOA),实现了对算法的全局优化能力和收敛速度的改进。通过基准测试函数的仿真,BWOA与标准WOA及高效的WOA(EWOA)对比分析,证明了BWOA的有效性。更多还原

【Abstract】 The whale optimization algorithm( WOA) is inspired by the hunting behavior of humpback whales and it’s presented as a new swarm-based optimization algorithm recently. This study proposes an improved whale optimization algorithm with optimization strategy of bionics( BWOA) by Chaos mapping initialization population and adaptive adjusting search strategy,in order to improve the accuracy of global optimization and the rate of convergence. By simulation on reference test function,BWOA is compared with standard WOA and effective WOA( EWOA),efficiency of BWOA,is demonstrated.更多还原