1) CGA
协同进化遗传算法
1.
Co-Genetic Algorithm(CGA) is applied to optimization for fuzzy image processing.
将协同进化遗传算法(CGA)应用于图像增强的模糊算法优化,以优化模糊逻辑处理效果。
2) coevolutionary genetic algorithm
共同进化遗传算法
1.
Coevolutionary genetic algorithm has been applied into the clinic nutrition decision-making optimization,which has acquired some achievements,but the algorithm still exists the problems of the pre-maturity in coevolutionary genetic algorithm,weak ability in the local searching.
将共同进化遗传算法应用于临床营养决策优化中,虽然取得了一定成果,但算法中仍存在早熟现象、局部搜索能量弱等问题,为此提出一种改进的共同进化模型。
3) cooperative genetic algorithm
协同遗传算法
1.
To solve the problem that traditional genetic algorithm(GA) often falls into local optimal solution and along with the expansion of distribution network scale the searching efficiency declines,through drawing lessons from the idea of co-evolution a cooperative genetic algorithm based distribution network planning method is proposed.
针对传统遗传算法易于陷入局部最优解和随着配电网规模的扩大搜索效率降低的问题,借鉴协同进化思想提出了基于协同遗传算法的配电网规划算法。
4) evolution genetic algorithm
进化遗传算法
1.
Based on Darwin s theory of evolution,new operators of crossover and mutation are presented in modified evolution genetic algorithm(EGA),which makes it obtain better global convergence.
改进了进化遗传算法 ,提出了新的交叉算子和变异算子 ,使之具有更好的全局收敛能力。
2.
The disadvantages of evolution genetic algorithm were analyzed in this paper.
分析了进化遗传算法的弊端。
5) genetic evolutionary algorithm
遗传进化算法
1.
Application of genetic evolutionary algorithm for slope stability analysis;
遗传进化算法在边坡稳定性分析中的应用
6) cooperative evolutionary algorithm
协同进化算法
1.
Fuzzy rules of hydraulic turbine fuzzy PID governor based on cooperative evolutionary algorithm;
基于协同进化算法的水轮机模糊PID调节系统模糊规则的研究
补充资料：拟态(见协同进化)
拟态(见协同进化)
拟态见协同进化
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
参考词条