改进gbest引导的人工蜂群算法

Improving gbest-guided Artificial Bee Colony Algorithm

为了进一步提高人工蜂群算法的性能,做了两点改进:(1)侦查蜂阶段采用混沌反向初始化的方式;(2)改进算法自动检测全局最优解停滞并给予高斯扰动,这样可以增强算法的进化能力。在6个标准测试函数上的实验表明,改进算法的性能优于人工蜂群算法和全局最优解引导的蜂群算法。

In order to further improve the performance of Artificial Bee Colony（ABC） algorithm, makes 2 improvement as follows：（1） a new chaos and opposition initialization strategy is applied in scout bee phase;（2）the proposed algorithm can automatically find out the stagnation of the global best solution and perturb it using Gaussian random number, which can enhance the performance of the algorithm. Experimental on 6 benchmark functions show that the proposed algorithm outperform ABC and gbest-guided ABC algorithm.