Titlebook: Enhancing Surrogate-Based Optimization Through Parallelization; Frederik Rehbach Book 2023 The Editor(s) (if applicable) and The Author(s) - BOOKS with Alphabet E (Ea, Eb,Ec, Ed, Ee…... ) - 派博传思国际中心

CHORD 发表于 2025-3-21 18:19:01

书目名称Enhancing Surrogate-Based Optimization Through Parallelization影响因子(影响力) http://figure.impactfactor.cn/if/?ISSN=BK0311322 书目名称Enhancing Surrogate-Based Optimization Through Parallelization影响因子(影响力)学科排名 http://figure.impactfactor.cn/ifr/?ISSN=BK0311322 书目名称Enhancing Surrogate-Based Optimization Through Parallelization网络公开度 http://figure.impactfactor.cn/at/?ISSN=BK0311322 书目名称Enhancing Surrogate-Based Optimization Through Parallelization网络公开度学科排名 http://figure.impactfactor.cn/atr/?ISSN=BK0311322 书目名称Enhancing Surrogate-Based Optimization Through Parallelization被引频次 http://figure.impactfactor.cn/tc/?ISSN=BK0311322 书目名称Enhancing Surrogate-Based Optimization Through Parallelization被引频次学科排名 http://figure.impactfactor.cn/tcr/?ISSN=BK0311322 书目名称Enhancing Surrogate-Based Optimization Through Parallelization年度引用 http://figure.impactfactor.cn/ii/?ISSN=BK0311322 书目名称Enhancing Surrogate-Based Optimization Through Parallelization年度引用学科排名 http://figure.impactfactor.cn/iir/?ISSN=BK0311322 书目名称Enhancing Surrogate-Based Optimization Through Parallelization读者反馈 http://figure.impactfactor.cn/5y/?ISSN=BK0311322 书目名称Enhancing Surrogate-Based Optimization Through Parallelization读者反馈学科排名 http://figure.impactfactor.cn/5yr/?ISSN=BK0311322

膝盖发表于 2025-3-21 23:07:26

Enhancing Surrogate-Based Optimization Through Parallelization

agonist 发表于 2025-3-22 03:53:56

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BOGUS 发表于 2025-3-22 08:12:56

Introduction,cost of computer experiments such as Computational Fluid Dynamics (CFD) simulations. In such a scenario, often only a few tens or hundreds of expensive functions evaluations are feasible due to a strict budget of time or money that has to be met. These hard limits require the use of very sample-efficient optimizers.

enchant 发表于 2025-3-22 10:58:18

Book 2023chine learning models. The approach combines two well-established concepts, Surrogate-Based Optimization (SBO) and parallelization, to efficiently search for optimal parameter setups with as few function evaluations as possible..Through in-depth analysis, the need for parallel SBO solvers is emphasi

卜闻发表于 2025-3-22 16:38:32

1860-949X ir comparison of parallel SBO algorithms.Focuses on the applThis book presents a solution to the challenging issue of optimizing expensive-to-evaluate industrial problems such as the hyperparameter tuning of machine learning models. The approach combines two well-established concepts, Surrogate-Base

卜闻发表于 2025-3-22 18:32:01

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acrophobia 发表于 2025-3-22 23:31:08

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鲁莽发表于 2025-3-23 03:31:47

https://doi.org/10.1057/9781403914279literature where needed. The chapter continues by presenting a taxonomy for parallel SBO (Sect. .) and giving recommendations for practitioners in the field of SBO. The chapter is concluded with a literature review covering existing SBO methods (Sect. .).

arbovirus 发表于 2025-3-23 06:34:14

https://doi.org/10.1007/978-1-349-12218-9to-evaluate functions. Rigorous methods for analyzing and assessing algorithm performance are required before any improvements can be made to optimization algorithms. Benchmarks and well-chosen test functions are essential to gain an unbiased insight into optimization algorithms.

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