Multi-objective differential evolution with dynamic hybrid constraint handling mechanism

Many real-world problems in engineering and process synthesis tend to be highly dimensional and nonlinear, even involve conflicting multiple objectives and subject to many constraints, which makes the feasible regions narrow; hence, it is hard to be solved by traditional constraint handling techniqu...

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Vydané v:	Soft computing (Berlin, Germany) Ročník 23; číslo 12; s. 4341 - 4355
Hlavní autori:	Lin, YueFeng, Du, Wei, Du, Wenli
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Berlin/Heidelberg Springer Berlin Heidelberg 01.06.2019 Springer Nature B.V
Predmet:	Artificial Intelligence Computational Intelligence Constraint modelling Control Engineering Evolutionary algorithms Evolutionary computation Feasibility Genetic algorithms Handling Mathematical Logic and Foundations Mechatronics Methodologies and Application Methods Multiple objective analysis Mutation Optimization Robotics Search strategies Searching Constraint handling Differential evolutionary algorithm Multi-objective optimization Constrained optimization
ISSN:	1432-7643, 1433-7479
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