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Multiple Objective Step Function Maximization with Genetic Algorithms and Simulated Annealing
2003
Social Science Research Network
We develop a hybrid algorithm using Genetic Algorithms (GA) and Simulated Annealing (SA) to solve multi-objective step function maximization problems. We then apply the algorithm to a specific economic problem which is taken out of the corporate governance literature.
doi:10.2139/ssrn.828666
fatcat:ujyywre5zneqbb3xjew245n4ym