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- W2358916922 abstract "To make proper target allocation(TA) for ship-borne weapons,an improved genetic algorithm(GA) with local search is proposed.Suitable chromosomes are constructed for the TA problem.A new crossover operator is proposed to keep good genes and enhance the search performance.Local search mechanism is added into GA to find solutions for TA problems with a more rapid convergence speed.Simulated annealing(SA) is used to overcome the problem of local optimum.A heuristically greedy local search is also proposed to improve the search efficiency.The simulation results show that the improved algorithm can improve the search efficiency of GA.Several examples are also exploited to explicit the superiority of the proposed approach over other existing algorithms." @default.
- W2358916922 created "2016-06-24" @default.
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- W2358916922 date "2008-01-01" @default.
- W2358916922 modified "2023-09-25" @default.
- W2358916922 title "Target allocation decision making based on improved genetic algorithms with local search" @default.
- W2358916922 hasPublicationYear "2008" @default.
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