Cultural particle swarm optimization algorithms for uncertain multi-objective problems with interval parameters

Abstract

Traditional dominant comparison never fits for uncertain multi-objective optimization problems with interval parameters. Moreover, existing particle swarm optimization algorithm for solving these uncertain optimization problems could not adaptively adjust the key parameters and easily fell into premature. To alleviate above weakness, a novel multi-objective… (More)
DOI: 10.1007/s11047-016-9556-3

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