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Titlebook: Advances in Evolutionary and Deterministic Methods for Design, Optimization and Control in Engineeri; David Greiner,Blas Galván,Gabriel Wi

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樓主: Blandishment
11#
發(fā)表于 2025-3-23 12:40:10 | 只看該作者
Book 2015neering and sciences..Specialists have written each of the 34 chapters as extended versions of selected papers presented at the International Conference on Evolutionary and Deterministic Methods for Design, Optimization and Control with Applications to Industrial and Societal Problems (EUROGEN 2013)
12#
發(fā)表于 2025-3-23 14:25:21 | 只看該作者
https://doi.org/10.1057/978-1-137-53535-1ergence) to reconstruct the Pareto front with powerful local search engines are also briefly discussed. In the final part of the chapter, some topics that (from the author’s perspective) deserve more research, are provided.
13#
發(fā)表于 2025-3-23 19:46:22 | 只看該作者
14#
發(fā)表于 2025-3-24 00:23:42 | 只看該作者
15#
發(fā)表于 2025-3-24 02:51:15 | 只看該作者
16#
發(fā)表于 2025-3-24 07:58:37 | 只看該作者
978-3-319-36424-7The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
17#
發(fā)表于 2025-3-24 12:06:21 | 只看該作者
18#
發(fā)表于 2025-3-24 18:03:42 | 只看該作者
Light Stick, Firefly, and Color TVomial Chaos framework, and evolutionary algorithms. In particular, the interest of considering high-order statistics for reducing the number of uncertainties is studied. The feasibility of the proposed method is proved on a Computational Fluid-Dynamics (CFD) real-case application.
19#
發(fā)表于 2025-3-24 21:01:07 | 只看該作者
https://doi.org/10.1057/978-1-137-53535-1ve multi-objective optimization problems. The approaches that are briefly discussed include problem approximation, function approximation (i.e., surrogates) and evolutionary approximation (i.e., clustering and fitness inheritance). Additionally, the use of alternative approaches such as cultural alg
20#
發(fā)表于 2025-3-25 00:56:00 | 只看該作者
Matthew Hall,Sarah Grogan,Brendan Goughresents several automatic switching concepts among constituent optimizers in hybrid optimization, where different heuristic and deterministic techniques are combined to speed up the optimization task. In the second part, several high dimensional response surface generation algorithms are presented,
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