A network design problem by a GA with linkage identification and recombination for overlapping building blocks

A network design problem by a GA with linkage identification and recombination for overlapping building blocks
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DOI:
10.1109/cec.2007.4424492
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发表时间:
2007-09
期刊:
2007 IEEE Congress on Evolutionary Computation
影响因子:
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通讯作者:
Miwako Tsuji;M. Munetomo;K. Akama
Miwako Tsuji;M. Munetomo;K. Akama
中科院分区:
其他
文献类型:
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作者:
Miwako Tsuji;M. Munetomo;K. Akama

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构建块的有效混合对于遗传算法是重要的,并且已经提出了识别紧密链接以形成构建块的变量的链接识别。在本文中,我们应用D5-GA与CDC -遗传算法结合的连锁识别方法称为D5和交叉方法称为CDC -网络设计问题,以验证其性能和检查的适用性的连锁识别遗传算法。
Efficient mixing of building blocks is important for genetic algorithms and linkage identification that identify variables tightly linked to form a building block have been proposed. In this paper, we apply D5-GA with CDC - a genetic algorithm incorporating a linkage identification method called D5 and a crossover method called CDC - to a network design problem to verify its performance and examine the applicability of the linkage identification genetic algorithms.