Surfing on Fitness Landscapes: A Boost on Optimization by Fourier Surrogate Modeling

Surfing in rough waters is not always as fun as wave riding the “big one”. Similarly, in optimization problems, fitness landscapes with a huge number of local optima make the search for the global optimum a hard and generally annoying game. Computational Intelligence optimization...

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Dettagli Bibliografici
Autori principali: Luca Manzoni, Daniele M. Papetti, Paolo Cazzaniga, Simone Spolaor, Giancarlo Mauri, Daniela Besozzi, Marco S. Nobile
Natura: Artigo
Lingua:Inglês
Pubblicazione: MDPI AG 2020-02-01
Serie:Entropy
Soggetti:
global optimization
particle swarm optimization
fuzzy self-tuning pso
fourier transform
surrogate modeling
Accesso online:https://www.mdpi.com/1099-4300/22/3/285
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