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000922386 019__ $$a1117301054$$a1117708488
000922386 020__ $$a9783030262150$$q(electronic book)
000922386 020__ $$a3030262154$$q(electronic book)
000922386 020__ $$z9783030262143
000922386 0247_ $$a10.1007/978-3-030-26215-0$$2doi
000922386 0247_ $$a10.1007/978-3-030-26
000922386 035__ $$aSP(OCoLC)on1114265059
000922386 035__ $$aSP(OCoLC)1114265059$$z(OCoLC)1117301054$$z(OCoLC)1117708488
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000922386 049__ $$aISEA
000922386 050_4 $$aQA76.9.N37$$bM49 2020eb
000922386 08204 $$a006.3/8$$223
000922386 1001_ $$aMeyer-Nieberg, Silja,$$eauthor.
000922386 24510 $$aNatural computing for simulation-based optimization and beyond /$$cSilja Meyer-Nieberg, Nadiia Leopold, Tobias Uhlig.
000922386 264_1 $$aCham :$$bSpringer,$$c[2020]
000922386 264_4 $$c©2020
000922386 300__ $$a1 online resource :$$billustrations.
000922386 336__ $$atext$$btxt$$2rdacontent
000922386 337__ $$acomputer$$bc$$2rdamedia
000922386 338__ $$aonline resource$$bcr$$2rdacarrier
000922386 4901_ $$aSpringerBriefs in operations research,$$x2195-0482
000922386 504__ $$aIncludes bibliographical references.
000922386 5050_ $$aChapter 1. Introduction to Simulation-Based Optimization -- Chapter 2. Natural Computing and Optimization -- Chapter 3. Simulation-based Optimization -- Chapter 4 Conclusions.
000922386 506__ $$aAccess limited to authorized users.
000922386 520__ $$aThis SpringerBrief bridges the gap between the areas of simulation studies on the one hand, and optimization with natural computing on the other. Since natural computing methods have been applied with great success in several application areas, a review concerning potential benefits and pitfalls for simulation studies is merited. The brief presents such an overview and combines it with an introduction to natural computing and selected major approaches, as well as with a concise treatment of general simulation-based optimization. As such, it is the first review which covers both the methodological background and recent application cases. The brief is intended to serve two purposes: First, it can be used to gain more information concerning natural computing, its major dialects, and their usage for simulation studies. It also covers the areas of multi-objective optimization and neuroevolution. While the latter is only seldom mentioned in connection with simulation studies, it is a powerful potential technique. Second, the reader is provided with an overview of several areas of simulation-based optimization which range from logistic problems to engineering tasks. Additionally, the brief focuses on the usage of surrogate and meta-models. The brief presents recent application examples.
000922386 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed August 27, 2019).
000922386 650_0 $$aNatural computation.
000922386 650_0 $$aComputer simulation.
000922386 650_0 $$aProgram transformation (Computer programming)
000922386 7001_ $$aLeopold, Nadiia,$$eauthor.
000922386 7001_ $$aUhlig, Tobias,$$eauthor.
000922386 830_0 $$aSpringerBriefs in operations research.
000922386 852__ $$bebk
000922386 85640 $$3SpringerLink$$uhttps://univsouthin.idm.oclc.org/login?url=http://link.springer.com/10.1007/978-3-030-26215-0$$zOnline Access$$91397441.1
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000922386 980__ $$aEBOOK
000922386 980__ $$aBIB
000922386 982__ $$aEbook
000922386 983__ $$aOnline
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