We develop a genetic algorithm for the topological design of survivable optical transport networks with minimum capital expenditure. Using the developed genetic algorithm we can obtain near-optimal topologies in a short time. The quality of the obtained solutions is assessed using an integer linear programming model. Two initial population generators, two selection methods, two crossover operators, and two popu...
http://www.sciencedirect.com/science/article/B6VCT-433NPMB-5/1/196f81f226d90a29e26b752ae26fc897
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