WebApr 6, 2024 · The experimental examples are designed based on the optimal Latin hypercube sampling (OLHS) ... which consisted of a symmetric local search plus Nelder-Mead and a cooperative co-evolution algorithm with a backtracking strategy for optimizing relative positions of buoys and PTO parameters for each buoy.
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Webing design is very small. Our method also works for expanding any symmetric Latin hypercube designs. Keywords Computer experiment · Correlation ·Space-filling design 1 Introduction Latin hypercube design (LHD) was first proposed by McKay et al. (1979) in their pioneering paper on computer experiments. Ever since then, LHDs have become WebAug 29, 2015 · First, we employ an optimal Latin hypercube design (OLHD) in which parameters of an EA algorithm are set as factors. Next, using parameter settings sampled by OLHD, we ... Li, W., and Sudjianto, A., “Algorithmic Construction of Optimal Symmetric Latin Hypercube Designs,” Journal of Statistical Planning and Inference, Vol. 90, No ... philly police radio j band
Computer experiments for circuit optimisation using symmetric Latin …
WebApr 1, 2016 · Furthermore, Latin hypercube sampling (LHS) was employed to define a new Bayesian inference algorithm. Finally, the defined algorithm was applied in a RPS for … WebJun 11, 2003 · In this work, Latin Hypercube Design (LHD) is utilized to generate saturated design experiments. Because of the use of LHD, historical design experiments can be inherited in later iterations. As a result, ARSM only requires a limited number of design experiments even for high-dimensional design problems. WebMay 1, 2024 · A main goal in computer experiments is to estimate the expected model output. This article proposes a new type of space-filling design, called a sliced … philly police force