Titlebook: Constraint-Handling in Evolutionary Optimization; Efrén Mezura-Montes Book 2009 Springer-Verlag Berlin Heidelberg 2009 Computational Intel

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Janne Haaland Matlary,Tormod Heier solve multi-modal problems is insufficient, that the ability to solve problems with equality constraints is inadequate, and that the stability and efficiency of searches is low. We have proposed the .DE, defined by applying the . constrained method to differential evolution (DE). It is shown that t

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https://doi.org/10.1007/978-3-319-32530-9ter we present a self-adaptive differential evolution algorithm which uses (1) a self-adaptive mechanism on control parameters F and CR, (2) more strategies during the mutation operation, (3) a population size (NP) reduction mechanism during the evolutionary process, and (4) the . constrained method

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Unknown Values and Stakeholdersdures and most of the real-world problems have constraints of different types. There is a lack of efficient constraint handling technique to bias the search in constrained search spaces toward the feasible regions. We propose a novel methodology to be coupled with a Genetic Algorithm to solve optimi

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The Consequences of Non-accountability strictly limited in aerodynamic or multidisciplinary design optimization due to expensive computational fluid dynamics (CFD) simulations for aerodynamic evaluations, very efficient and robust constraint-handling technique is required for aerodynamic and multidisciplinary design optimizations. First

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