The GLOBAL Optimization Algorithm

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文件名称：The GLOBAL Optimization Algorithm
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更新时间：2022-01-21 13:15:30
ALGORITHM J The GLOBAL Optimization Algorithm: Newly Updated with Java Implementation and Parallelization (SpringerBriefs in Optimization) By 作者: Balázs Bánhelyi ISBN-10 书号: 3030023745 ISBN-13 书号: 9783030023744 Edition 版本: 1st ed. 2018 出版日期: 2018-12-11 pages 页数: (124 ) This book explores the updated version of the GLOBAL algorithm which contains improvements for a local search algorithm and new Java implementations. Efficiency comparisons to earlier versions and on the increased speed achieved by the parallelization, are detailed. Examples are provided for students as well as researchers and practitioners in optimization, operations research, and mathematics to compose their own scripts with ease. A GLOBAL manual is presented in the appendix to assist new users with modules and test functions. GLOBAL is a successful stochastic multistart global optimization algorithm that has passed several computational tests, and is efficient and reliable for small to medium dimensional global optimization problems. The algorithm uses clustering to ensure efficiency and is modular in regard to the two local search methods it starts with, but it can also easily apply other local techniques. The strength of this algorithm lies in its reliability and adaptive algorithm parameters. The GLOBAL algorithm is free to download also in the earlier Fortran, C, and MATLAB implementations. Cover Front Matter 1.Introduction 2.Local Search 3.The GLOBALJFramework 4.Parallelization 5.Example Back Matter