Abstract
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. © Springer-Verlag Berlin Heidelberg 2004.
Cite
CITATION STYLE
Dallaali, M. A., & Premaratne, M. (2004). Controlled content crossover: A new crossover scheme and its application to optical network component allocation problem. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 3103, 387–389. https://doi.org/10.1007/978-3-540-24855-2_37
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