进化停滞

实验表明，VPS-GEP算法减少了55%以上的进化停滞代数。

The experiments show that VPS-GEP algorithm decreases the generations-stagnancy over 55 % . 6 .

为防止进化停滞，自适应地调整亲和度尺度变换参数。

Also , to prevent evolutionary stagnation , the scaling factors of affinity are adaptively adjusted .

实验表明了新算法的有效性，能减少进化停滞代数65%以上，使群体的平均适应度提高12%以上。

The experiment showed that the new algorithm decreases the generations-stagnancy over 65 % and increases the average fitness of colony over 12 % .

针对现有自适应遗传算法无法兼顾群体特性，难以稳定地收敛到最优解的问题，从种群多样性和适应度均值变化的角度，分析了进化停滞或退化的原因。

Focusing on the problems existed in some adaptive genetic algorithms that cannot take account of population features and are difficult to converge to optimal solution steadily , the reasons of stopping evolution or degeneration are analyzed in view of fitness average and population diversity .

给出了一种在多目标优化条件下的进化算法群体停滞判别准则，设计了多目标优化协同进化算法中子群体新增和灭绝的条件以及算法的终止准则。

A new criterion judging the stagnation of the population in evolutionary algorithms in the existence of multiple objectives is presented , and the conditions of adding and deleting subpopulations and the stopping criterion of the algorithm are induced .