CAJ | 학술논문

为充分利用最优个体的信息，借鉴于漂移和波动思想设计出新的交叉与变异算子，提出一种新的遗传算法。新算法采用混沌策略处理不可行个体，新算子结合最优个体信息，兼具全局搜索与局部搜索性能。仿真实验表明，新算法不但加快了算法的收敛速度，而且提高了求解精度，是一种有效性算法。
위충분이용최우개체적신식，차감우표이화파동사상설계출신적교차여변이산자，제출일충신적유전산법。신산법채용혼돈책략처리불가행개체，신산자결합최우개체신식，겸구전국수색여국부수색성능。방진실험표명，신산법불단가쾌료산법적수렴속도，이차제고료구해정도，시일충유효성산법。
In order to make full use of the optimal individual information , referring to thought of drift and wave to design the new crossover and mutation operator , it proposes a new genetic algorithm;The new al-gorithm uses the chaotic strategy for processing infeasible individuals , with the new operator combined with optimal individual information , so it has the capability of global search and local search .Simulation experiments show that the new algorithm can improve the algorithm convergence speed and accuracy , and that the proposed method is effective and feasible .