A New Approach for Low-Dimensional Constrained Engineering Design Optimization Using Design and Analysis of Simulation Experiments

The number of function evaluations in many industrial applications of simulation-based optimization problems is strictly limited. Therefore, only little analytical information on objective and constraint functions is available. This paper presents an adaptive algorithm called the Surrogate-Based Con...

Täydet tiedot

Bibliografiset tiedot

Päätekijät:	Amir Parnianifard, Ratchatin Chancharoen, Gridsada Phanomchoeng, Lunchakorn Wuttisittikulkij
Aineistotyyppi:	Artigo
Kieli:	Inglês
Julkaistu:	Springer 2020-10-01
Sarja:	International Journal of Computational Intelligence Systems
Aiheet:	Constrained optimization Surrogates Kriging Computationally expensive function Global optimization
Linkit:	https://www.atlantis-press.com/article/125945411/view
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