一种基于种群竞争与交流模型的多群进化规划算法

进化不仅是一个环境通过自然选择对物种施加影响的过程，同时也是种群间相互竞争和交流的结果。基于此种考虑，提出了一种基于种群竞争与交流模型的多群进化规划算法。在该算法中，种群的规模取决于种群间的竞争，种群的变异压力来自其生存空间。种群间的信息交换通过种群的个体交流实现，而种群间个体的交流则来自种群规模的变化。对典型算例的数值仿真表明，该算法能够改善传统的进化规划算法易早熟收敛的弱点，同时具有良好的快速收敛性和参数鲁棒性。

A Novel Multigroup Evolutionary Algorithm Based on Competition and Communication among Population

Evolution is not only a natural selection procession, but also the result of competition and communication among populations. A novel improved multigroup evolutionary programming algorithm is proposed based on this viewpoint. In the algorithm, the scale of population is determined by group competition, and the mutation of population is determined by the scale of population. The individual, together with information, is exchanged while the population scale is variable. The simulations based on benchmarks confirms that this algorithm is better than classic evolutionary programming algorithm in the aspects of global optimization, convergence speed and the robustness