摘要
为了提高海豚群优化算法的优化能力,针对基本海豚群算法搜索阶段易陷入局部最优和早熟收敛的缺陷,将DE入算法,提出了一种改进的海豚群算法。算法通过DE的交叉和变异机制避免局部最优。测试结果表明,改进的算法在收敛速度和寻优精度方面有更好的表现。
In order to improve the optimization ability of dolphin swarm optimization algorithm, an improved dolphin swarm algorithm is proposed by incorporating DE into the algorithm to overcome the shortcomings of local optimum and premature convergence in the search phase of basic dolphin swarm algorithm. The algorithm avoids local optimum through the crossover and mutation mechanism of DE. The test results show that the improved algorithm has better performance in convergence speed and optimization accuracy.
作者
王旭
WANG Xu(School of Civil Engineering,Hebei University of Engineering,Handan 056038,China)
出处
《价值工程》
2019年第11期156-158,共3页
Value Engineering
关键词
海豚群算法
改进
收敛
自适应
组合优化
dolphin swarm algorithm
improvement
convergence
self-adaption
combinatorial optimization
