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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