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Generalized Response Surface Methodology: A New Metaheuristic [PDF]
SSRN Electronic Journal, 2006 Generalized Response Surface Methodology (GRSM) is a novel general-purpose metaheuristic based on Box and Wilson.s Response Surface Methodology (RSM).Both GRSM and RSM estimate local gradients to search for the optimal solution.These gradients use local first-order polynomials.GRSM, however, uses these gradients to estimate a better search direction ...
J.P.C. Kleijnen
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Response surface methodology revisited [PDF]
Proceedings of the Winter Simulation Conference, 2003 Response surface methodology (RSM) searches for the input combination that optimizes the simulation output. RSM treats the simulation model as a black box. Moreover, this paper assumes that simulation requires much computer time. In the first stages of its search, RSM locally fits first-order polynomials.
Angun, M.E. +3 more
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Optimization of Spontaneous Fermentation Conditions of Kohlrabi by Response Surface Methodology
Fermentation, 2023 Kohlrabi is a valuable crop due to its substantial amount of macro- and micronutrients. It is mostly consumed in fresh form, as jam or fermented product.
Hatice Aybuke Karaoglan +1 more
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MANAS: Journal of Engineering, 2023 In this study, MWCNT supported Pd (Pd/MWCNT) was synthesized by NaBH4 reduction method as catalyst for hydrazine electrooxidation reaction (HEOR). Characterization methods namely inductively coupled plasma mass spectrometry (ICP-MS), elemental mapping ...
Berdan Ulaş
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Response Surface Methodology [PDF]
SSRN Electronic Journal, 2014 This chapter first summarizes Response Surface Methodology (RSM), which started with Box and Wilson’s 1951 article on RSM for real, non-simulated systems. RSM is a stepwise heuristic that uses first-order polynomials to approximate the response surface locally.
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Journal of Pure and Applied Microbiology, 2022 Lk2 and Lk3 were thermostable recombinant lipase and highly expressed in Escherichia coli BL21 (DE3). However, Lk2 and Lk3 accumulated as an inclusion body. To further characterize both recombinant lipases, the soluble enzyme must be obtained first. This
Titin Haryati +3 more
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Mead fermentation parameters: Optimization by response surface methodology
Foods and Raw Materials, 2022 Introduction. This article presents the development of mathematical models related to the effect of the initial content of dry matter, yeast, and yeast energizer on the fermentation rate, the alcohol content, and the dry matter content in the finished ...
Saša Papuga +4 more
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Response Surface Methodology Study on Magnetite Nanoparticle Formation under Hydrothermal Conditions
Nanomaterials and Nanotechnology, 2015 In a hydrothermal preparation of crystalline magnetite (Fe3O4) nanoparticles, the influence of the experimental parameters (initial molar ratio of ferrous/ferric ions, initial concentration of ferrous ions, and heating time), and their interactions, on ...
Naoya Mizutani +2 more
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A framework for Response Surface Methodology for simulation optimization [PDF]
2000 Winter Simulation Conference Proceedings (Cat. No.00CH37165), 2002 We develop a framework for automated optimization of stochastic simulation models using Response Surface Methodology. The framework is especially intended for simulation models where the calculation of the corresponding stochastic response function is very expensive or time-consuming. Response Surface Methodology is frequently used for the optimization
Neddermeijer, H.G. +3 more
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IMPORTANT ISSUES IN MULTIPLE RESPONSE OPTIMIZATION [PDF]
Iranian Journal of Optimization, 2009 There have been many productive methods developed so far for optimization of multiple response surface (MRS) problems. This paper tends to review the most seminal approaches in MRS and discuss the strength and weakness of each of the approaches through ...
Mohammad Taleghani
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