Method to achieve better performance in genetic algorithms applied to time-constrained, multi-solution problems

T. Dickens, C. L. Karr
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Abstract

It has been demonstrated that a periodic complete reinitialization of a running genetic algorithm (GA) solution will result in a higher convergence rate for a series of problems. This technique, referred to as the "total-comet-strike" operator, has been applied to a number of multi-solution GA problems. Where it has been used, an improvement has been shown both in the number of cases that converge within an imposed time limit and in the average time required for each case.
将性能更好的遗传算法应用于时间约束、多解问题
研究表明,对正在运行的遗传算法(GA)解进行周期性完全重新初始化,对一系列问题具有较高的收敛速度。这种技术被称为“全彗星撞击”算子,已被应用于许多多解遗传算法问题。在使用它的地方,在规定的时间限制内收敛的案例数量和每个案例所需的平均时间方面都显示出了改进。
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