The advanced GA USES two virtual population methodologies to process the population of standard binary and real code GA for RPO problem.
该算法采用两种虚拟种群的方法对常规遗传算法及浮点数遗传算法的种群实行改进。
Firstly a new Co-GA model based on binary limited population is presented.
针对一类协同进化算法给出其二进制编码有限群体模型。
A new adaptive evolutionary programming, in which population is encoded by binary and complex-valued, is presented.
提出一种新的二进制和复数混合编码的自适应进化规划方法。
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