The adoption of remembrance-guided search method emphasizes local optimum value in each remembrance segment, which avoids the blindness of global search.
算法中采用的记忆指导搜索策略重点搜索了各记忆段的局部最优值，避免了全局搜索的盲目性；
The basic principle of CPSO algorithm is that chaos initialization is adopted to improve individual quality and chaos perturbation is utilized to avoid the search being trapped in local optimum.
该算法的思想是采用混沌初始化进行改善个体质量和利用混沌扰动避免搜索过程陷入局部极值。
After every basic mutation, crossover and competition, a new competition with a random swarm is added so as to effectively jump out of the local optimum and enhance the ability of global search.
在每一代变异、交叉和竞争之后，又增加了与随机新种群的竞争操作，使算法易于跳出局部最优点，以提高全局搜索能力。
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