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000728025 020__ $$a9783662448748$$q(electronic book)
000728025 020__ $$a3662448742$$q(electronic book)
000728025 020__ $$z9783662448731
000728025 0247_ $$a10.1007/978-3-662-44874-8$$2doi
000728025 035__ $$aSP(OCoLC)ocn913232837
000728025 035__ $$aSP(OCoLC)913232837
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000728025 050_4 $$aQA76.618$$b.E43 2015eb
000728025 08204 $$a006.3/823$$223
000728025 1001_ $$aEiben, Agoston E.,$$eauthor.
000728025 24510 $$aIntroduction to evolutionary computing$$h[electronic resource] /$$cA.E. Eiben, J.E. Smith.
000728025 250__ $$aSecond edition.
000728025 264_1 $$aBerlin :$$bSpringer,$$c2015.
000728025 300__ $$a1 online resource (xi, 287 pages) :$$billustrations.
000728025 336__ $$atext$$btxt$$2rdacontent
000728025 337__ $$acomputer$$bc$$2rdamedia
000728025 338__ $$aonline resource$$bcr$$2rdacarrier
000728025 4901_ $$aNatural computing series
000728025 504__ $$aIncludes bibliographical references and index.
000728025 5050_ $$aProblems to Be Solved -- Evolutionary Computing: The Origins -- What Is an Evolutionary Algorithm? -- Representation, Mutation, and Recombination -- Fitness, Selection, and Population Management -- Popular Evolutionary Algorithm Variants -- Hybridisation with Other Techniques: Memetic Algorithms -- Nonstationary and Noisy Function Optimisation -- Multiobjective Evolutionary Algorithms -- Constraint Handling -- Interactive Evolutionary Algorithms -- Coevolutionary Systems -- Theory -- Evolutionary Robotics -- Parameters and Parameter Tuning -- Parameter Control -- Working with Evolutionary Algorithms -- References.
000728025 506__ $$aAccess limited to authorized users.
000728025 520__ $$aThe overall structure of this new edition is three-tier: Part I presents the basics, Part II is concerned with methodological issues, and Part III discusses advanced topics. In the second edition the authors have reorganized the material to focus on problems, how to represent them, and then how to choose and design algorithms for different representations. They also added a chapter on problems, reflecting the overall book focus on problem-solvers, a chapter on parameter tuning, which they combined with the parameter control and "how-to" chapters into a methodological part, and finally a chapter on evolutionary robotics with an outlook on possible exciting developments in this field. The book is suitable for undergraduate and graduate courses in artificial intelligence and computational intelligence, and for self-study by practitioners and researchers engaged with all aspects of bioinspired design and optimization.
000728025 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed July 6, 2015).
000728025 650_0 $$aEvolutionary programming (Computer science)
000728025 650_0 $$aEvolutionary computation.
000728025 7001_ $$aSmith, J. E.$$q(James E.),$$d1964-$$eauthor.
000728025 830_0 $$aNatural computing series.
000728025 85280 $$bebk$$hSpringerLink
000728025 85640 $$3SpringerLink$$uhttps://univsouthin.idm.oclc.org/login?url=http://link.springer.com/10.1007/978-3-662-44874-8$$zOnline Access$$91397441.1
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