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。
An improved binary ant-colony algorithm based on congestion control strategy and multi-population is proposed to over-come these disadvantages.
使用拥塞控制策略改善算法的全局寻优能力，同时引入多种群的思想，提出了带拥塞控制多种群二元蚁群算法。
Equally importantly, Integral found evidence that a population of binary stars is also significantly off-centre, corresponding in extent to the cloud of antimatter.
同样重要的是，Integral发现双星的密度同样是明显偏心的迹象，在一定程度上与反物质云相关。
Equally importantly, Integral found evidence that a population of binary stars is also significantly off-centre, corresponding in extent to the cloud of antimatter.
同样重要的是，Integral发现双星的密度同样是明显偏心的迹象，在一定程度上与反物质云相关。
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