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- W2968378920 abstract "Bi-level optimization problems with constraints are well known for wide applications and difficulties. A new particle swarm optimization algorithm (PSO) with dynamic constraint processing is proposed. First, we divide constraints into three cases and design a new PSO based crossover operator to dynamically deal with constraints; second, a normal distribution is added into PSO to work as mutation operator, which will enhance the diversity of the swarm and navigate the search direction. Finally, we give the convergence proof of the proposed algorithm." @default.
- W2968378920 created "2019-08-22" @default.
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- W2968378920 date "2019-06-01" @default.
- W2968378920 modified "2023-09-26" @default.
- W2968378920 title "A New Bi-level PSO Algorithm based on Dynamic Constraint Processing and Approximate Navigation" @default.
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- W2968378920 doi "https://doi.org/10.1109/cec.2019.8789996" @default.
- W2968378920 hasPublicationYear "2019" @default.
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