基于乌鸦喝水的元启发式优化算法

启发式优化算法已成为求解复杂优化问题的一种有效方法,可用于解决传统的优化方法难以求解的问题.受乌鸦喝水寓言故事启发,提出一种新型元启发式优化算法—乌鸦喝水算法,首先建立了乌鸦喝水算法数学模型;其次,给出实现该算法的详细步骤;最后,将该算法用于基准函数优化,并将该算法与乌鸦搜索算法、粒子群优化算法、多元宇宙优化算法、花授粉算法、布谷鸟算法等群智能算法进行了比较.仿真实验结果表明,乌鸦喝水算法优于其他算法.

Meta-heuristic Optimization Algorithm Based on Crow Drinking Water

Heuristic optimization algorithms have become an effective method for solving complex optimization problems,and can be used to solve problems that traditional optimization methods are difficult to solve.Inspired by the fable story of crow drinking water,this paper proposes a new meta-heuristic optimization algorithm-Crow Drinking Water Algorithm.First,the mathematical model of the crow drinking water algorithm is established.Second,the detailed steps to implement the algorithm are given.Finally,the algorithm is used for benchmark function optimization,and the algorithm is compared with swarm intelligence algorithms such as Crow Search Algorithm,Particle Swarm Optimization,Multiverse Optimization Algorithm,Flower Pollination Algorithm and Cuckoo Search algorithm.Simulation experiment results show that the Crow Drinking Water Algorithm is superior to other algorithms.