An Efficient Modified Particle Swarm Optimization Algorithm for Solving Mixed-Integer Nonlinear Programming Problems

This paper presents an efficient modified particle swarm optimization (EMPSO) algorithm for solving mixed-integer nonlinear programming problems. In the proposed algorithm, a new evolutionary strategies for the discrete variables is introduced, which can solve the problem that the evolutionary strat...

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Vydané v:	International journal of computational intelligence systems Ročník 12; číslo 2; s. 530 - 543
Hlavní autori:	Sun, Ying, Gao, Yuelin
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Dordrecht Springer Netherlands 01.01.2019 Springer Nature B.V Springer
Predmet:	Constrained optimization Evolutionary algorithms Mixed integer Mixed-integer nonlinear programming Nonlinear programming Optimization algorithms Particle swarm optimization Performance indices Research Article Simulated annealing Mixed-integer nonlinear programming Particle swarm optimization Simulated annealing Constrained optimization
ISSN:	1875-6891, 1875-6883, 1875-6883
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