 |
    |
Controlled Content Crossover: A New Crossover Scheme and Its Application to Optical Network Component Allocation Problem
Mohammad Amin Dallaali and Malin Premaratne
Advanced Computing and Simulation Laboratory (AXL), Department of Electrical and Computer System Engineering, P.O. Box: 35 Monash University, Clayton Victoria 3800 AustraliaAmin.Dallaali@eng.monash.edu.au
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.
LNCS 3103, p. 387 ff.
lncs@springer.de
© Springer-Verlag Berlin Heidelberg 2004