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000752815 020__ $$a9783319264677$$q(electronic book)
000752815 020__ $$a3319264672$$q(electronic book)
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000752815 0247_ $$a10.1007/978-3-319-26467-7$$2doi
000752815 035__ $$aSP(OCoLC)ocn932064035
000752815 035__ $$aSP(OCoLC)932064035
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000752815 049__ $$aISEA
000752815 050_4 $$aT57.817
000752815 08204 $$a519.7/6$$223
000752815 1001_ $$aOliveira, Hime Aguiar e,$$eauthor.
000752815 24510 $$aEvolutionary global optimization, manifolds and applications$$h[electronic resource] /$$cHime Aguilar e Oliveira Junior.
000752815 264_1 $$aCham :$$bSpringer,$$c[2016]
000752815 264_4 $$c©2016
000752815 300__ $$a1 online resource :$$billustrations.
000752815 336__ $$atext$$btxt$$2rdacontent
000752815 337__ $$acomputer$$bc$$2rdamedia
000752815 338__ $$aonline resource$$bcr$$2rdacarrier
000752815 4901_ $$aStudies in systems, decision and control ;$$vvolume 43
000752815 504__ $$aIncludes bibliographical references and index.
000752815 5050_ $$aPart I Introductory Information -- Part II Global optimization on manifolds -- Part III Further Applications of fuzzy ASA.
000752815 506__ $$aAccess limited to authorized users.
000752815 520__ $$aThis book presents powerful techniques for solving global optimization problems on manifolds by means of evolutionary algorithms, and shows in practice how these techniques can be applied to solve real-world problems. It describes recent findings and well-known key facts in general and differential topology, revisiting them all in the context of application to current optimization problems. Special emphasis is put on game theory problems. Here, these problems are reformulated as constrained global optimization tasks and solved with the help of Fuzzy ASA. In addition, more abstract examples, including minimizations of well-known functions, are also included. Although the Fuzzy ASA approach has been chosen as the main optimizing paradigm, the book suggests that other metaheuristic methods could be used as well. Some of them are introduced, together with their advantages and disadvantages. Readers should possess some knowledge of linear algebra, and of basic concepts of numerical analysis and probability theory. Many necessary definitions and fundamental results are provided, with the formal mathematical requirements limited to a minimum, while the focus is kept firmly on continuous problems. The book offers a valuable resource for students, researchers and practitioners. It is suitable for university courses on optimization and for self-study.
000752815 588__ $$aOnline resource; title from PDF title page (viewed December 16, 2015).
000752815 650_0 $$aNonconvex programming.
000752815 77608 $$iPrint version:$$z9783319264660
000752815 830_0 $$aStudies in systems, decision and control ;$$vv. 43.
000752815 852__ $$bebk
000752815 85640 $$3SpringerLink$$uhttps://univsouthin.idm.oclc.org/login?url=http://link.springer.com/10.1007/978-3-319-26467-7$$zOnline Access$$91397441.1
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