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Titlebook: Handbook of Test Problems in Local and Global Optimization; Christodoulos A. Floudas,P?nos M. Pardalos,Carl A. Book 1999 Springer-Verlag U

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書目名稱Handbook of Test Problems in Local and Global Optimization
編輯Christodoulos A. Floudas,P?nos M. Pardalos,Carl A.
視頻videohttp://file.papertrans.cn/423/422289/422289.mp4
叢書名稱Nonconvex Optimization and Its Applications
圖書封面Titlebook: Handbook of Test Problems in Local and Global Optimization;  Christodoulos A. Floudas,P?nos M. Pardalos,Carl A. Book 1999 Springer-Verlag U
描述Significant research activities have taken place in the areas of local and global optimization in the last two decades. Many new theoretical, computational, algorithmic, and software contributions have resulted. It has been realized that despite these numerous contributions, there does not exist a systematic forum for thorough experimental computational testing and· evaluation of the proposed optimization algorithms and their implementations. Well-designed nonconvex optimization test problems are of major impor- tance for academic and industrial researchers interested in algorithmic and software development. It is remarkable that eventhough nonconvex models dominate all the important application areas in engineering and applied sci- ences, there is only a limited dass of reported representative test problems. This book reflects our long term efforts in designing a benchmark database and it is motivated primarily from the need for nonconvex optimization test problems. The present collection of benchmarks indudes test problems from literature studies and a large dass of applications that arise in several branches of engineering and applied science.
出版日期Book 1999
關(guān)鍵詞Software; algorithms; combinatorial optimization; control; design; development; global optimization; linear
版次1
doihttps://doi.org/10.1007/978-1-4757-3040-1
isbn_softcover978-1-4419-4812-0
isbn_ebook978-1-4757-3040-1Series ISSN 1571-568X
issn_series 1571-568X
copyrightSpringer-Verlag US 1999
The information of publication is updating

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Nonconvex Optimization and Its Applicationshttp://image.papertrans.cn/h/image/422289.jpg
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https://doi.org/10.1007/978-1-4757-3040-1Software; algorithms; combinatorial optimization; control; design; development; global optimization; linear
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Biconvex and Difference of Convex Functions (D.C.) Problems,Biconvex and Difference of Convex functions (D.C.) problems are subclasses of the general .. nonlinear programming problems. However, they possess special structure and therefore are treated separately in this chapter.
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Generalized Geometric Programming Problems,In this chapter, we will discuss test problems that arise from generalized geometric programming applications. For a thorough theoretical and algorithmic exposition of global optimization approaches for generalized geometric programming problems, the reader is directed to the article of Maranas and Floudas (1997), and the book by Floudas (2000).
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