改进的鸡群优化算法

Improved chicken swarm optimization algorithm

针对鸡群优化算法中解的更新效率较低且缺乏探索性等问题,提出了一种改进的鸡群优化算法。该算法基于标准鸡群优化算法的种群分组更新机制,并借鉴狼群优化算法和粒子群优化算法的思想,引入改进因子和去重操作算子分别用以增强算法的寻优能力和提高种群的多样性。通过与其他4种算法在CEC 2014测试函数集上进行比较,结果表明本文算法在绝大多数测试函数上均表现出了良好的优化效果,在求解精度及收敛速度方面也优于其他算法。

Based on the hierarchy mechanism of the conventional chicken swarm optimization(CSO)algorithm,an improved chicken swarm optimization(ICSO)algorithm is proposed to enhance the solution accuracy and the convergence rate of the conventional CSO algorithm.The ICSO algorithm introduces several improved factors that learned from the grey wolf optimizer(GWO)and the particle swarm optimization(PSO),to extend the searching ability of the algorithm.Moreover,a duplicate remove operator is also introduced to improve the diversity of the population.Experimental results show that the accuracy of the solution and the convergence rate of the proposed algorithm are better than other benchmark algorithms.