Efficiently handling constraints in mixed-integer nonlinear programming problems using gradient-based repair differential evolution

Mixed integer nonlinear programming (MINLP) addresses optimization problems that involve continuous and discrete/integer decision variables, as well as nonlinear functions. These problems often exhibit multiple discontinuous feasible parts due to the presence of integer variables. Discontinuous feas...

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Vydané v:	PeerJ. Computer science Ročník 10; s. e2095
Hlavní autori:	Molina-Pérez, Daniel, Portilla-Flores, Edgar Alfredo, Mezura-Montes, Efrén, Vega-Alvarado, Eduardo, Calva-Yañez, María Bárbara
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	United States PeerJ Inc 31.05.2024
Predmet:	Algorithms and Analysis of Algorithms Artificial Intelligence Differential evolution Gradient-based repair method Integer constraint handling MINLP problems Optimization Theory and Computation Real-world optimization Scientific Computing and Simulation Differential evolution MINLP problems Gradient-based repair method Integer constraint handling Real-world optimization
ISSN:	2376-5992, 2376-5992
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