一种新的收敛于全局最优解的遗传算法

A NEW GENETIC ALGORITHM CONVERGING TO THE GLOBALLY-OPTIMAL SOLUTION

  • 摘要: 提出了一种新遗传算法,其特点是增加了复原、重构和录优等三种新操作,据以产生一组有界单调的适应度值数列,实现全局优选,在搜索过程保持完备随机性的前提下收敛于全局最优解.文中列举了一些应用算例,以说明作者提出的新遗传算法的优越性.

     

    Abstract: A new genetic algorithm is developed, being remarked for the addition of three new operations: restoration, reconstruction and recording the better so as to create a limited monotonic fitness-value-sequence to realize the globally-optimal selection, and to converge to the globally-optimal solution within a thoroughly stochastic process. Also, two examples are given, illustrating the superiority of this new genetic algorithm developed by the authors.

     

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