Controlled Content Crossover: A new crossover scheme and its application to optical network component allocation problem

被引：0
|
作者：
Dallaali, MA [1 ]
Premaratne, M [1 ]
机构：
[1] Monash Univ, Dept Elect & Comp Syst Engn, Adv Comp & Simulat Lab, AXL, Clayton, Vic 3800, Australia
来源：
GENETIC AND EVOLUTIONARY COMPUTATION GECCO 2004 , PT 2, PROCEEDINGS | 2004年 / 3103卷
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D O I：
暂无
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
In this paper, a new genetic mating scheme called Controlled Content Crossover (CCC) is proposed and applied to solve the optical network component allocation problem. In order to solve the constrained optimization problem, CCC finds the selected set of the components with the minimum cost while it keeps the total dispersion value of the answer within a double-sided limit. The simulation results show that CCC finds the optimum answer matching closely with CPLEX solution.
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页码：387 / 389
页数：3
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