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- W4328011137 abstract "In this paper, a modified MOEA/D algorithm with wider spread of solutions and faster convergence rate is developed to solve the static weapon target assignment problem. First, a bi-objective static weapon target assignment model is proposed for large-scale heterogeneous missile clusters and large- scale multi type targets assignment. Second, a decimal encoding method is designed to discribe multi-type weapons, where the population is updated by using the crossover and mutation operators and a repair operator is designed to rectify new generation. Third, the normalized Tchebycheff approach is adpoted to solve the problem of the difference of bi-objective scale. Finally, the advantage of the modified algorithm is illustrated by some numerical experiments." @default.
- W4328011137 created "2023-03-22" @default.
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- W4328011137 date "2022-12-15" @default.
- W4328011137 modified "2023-10-16" @default.
- W4328011137 title "Large-Scale Weapon Target Assignment Based on Improved MOEA/D Algorithm" @default.
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- W4328011137 doi "https://doi.org/10.1109/srse56746.2022.10067508" @default.
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