求解约束优化问题的改进海豚算法  

Improved Dolphin Swarm Optimization Algorithm for Constrained Optimization Problems

作　　者：陈建华 陈建荣[2,3] CHEN Jianhua;CHEN Jianrong(Youjiang District Social Insurance Bureau,Baise 533000;Youjiang Medical University for Nationalities,Baise 533000;School of Data and Computer Science,Sun Yat-sen University,Guangzhou 510006)

机构地区：[1]右江区社会保险事业局,百色533000 [2]右江民族医学院,百色533000 [3]中山大学数据科学与计算机学院,广州510006

出　　处：《计算机与数字工程》2020年第10期2400-2404,共5页Computer & Digital Engineering

摘　　要：海豚算法是一种新型的群智能优化算法,但该算法仍存在末期收敛速度慢、求解精度不高、易陷入局部极值的缺点。针对算法的不足,提出了一种改进的海豚算法。改进算法通过限制海豚最大速度,并在优化调整原算法中捕食行为的基础上提出新捕食行为,以此来提高算法的搜索性能。最后,通过使用经典工程设计问题对算法性能进行测试。仿真结果表明,与原算法相比,改进算法的全局搜索能力和局部精细搜索能力得到了明显提高,并具有更好的收敛速度、求解精度和稳定性。Dolphin swarm optimization algorithm is a new swarm intelligence algorithm,but it still has some weaknesses such as slow convergence speed,low accuracy and easy to fall into local extremum.Aiming at the deficiency of the algorithm,this paper proposes an improved dolphin swarm optimization algorithm.The improved algorithm improves the search performance of the algorithm by limiting the maximum speed of the dolphins and optimizing and adjusting the predation behavior in the original algorithm.Finally,the algorithm performance is tested by using classic engineering design problems.Simulation results show that compared with the original algorithm,the improved algorithm has improved the global search ability and the local fine search ability,and has better convergence speed,precision and stability.

关 键 词：群智能 海豚算法 约束优化 改进算法 工程实例 

分 类 号：TP18[自动化与计算机技术—控制理论与控制工程]