Research Article
Research on Improved NSGA-II Algorithm and Its Application in Emergency Management
initial: ; | sort(non-dominated ()), calculate crowding distance crowd () | for : genmax | Genetic operator: do Crossover and Mutation obtained the offsprings GA. | Tabu Search operator: one individual from parent randomly which the rank = 1; | while termination not satisfied do | for : CandidateNum | | end for | | if | then | else let | If dominates parent, add it to TSi | update the tabu list , , then turn to step | end while | | sort(non-dominated ()), calculate crowding distance for each individuals in ; | using the tournament selection select the first solutions from to ; | end for |
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