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000824121 019__ $$a1013488123
000824121 020__ $$a9783319676692$$q(electronic book)
000824121 020__ $$a3319676695$$q(electronic book)
000824121 020__ $$z9783319676685
000824121 0247_ $$a10.1007/978-3-319-67669-2$$2doi
000824121 035__ $$aSP(OCoLC)on1007151585
000824121 035__ $$aSP(OCoLC)1007151585$$z(OCoLC)1013488123
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000824121 049__ $$aISEA
000824121 050_4 $$aQA76.9.N37
000824121 08204 $$a006.3/8$$223
000824121 24500 $$aNature-inspired algorithms and applied optimization /$$cXin-She Yang, editor.
000824121 264_1 $$aCham, Switzerland :$$bSpringer,$$c2018.
000824121 300__ $$a1 online resource (xi, 330 pages) :$$billustrations.
000824121 336__ $$atext$$btxt$$2rdacontent
000824121 337__ $$acomputer$$bc$$2rdamedia
000824121 338__ $$aonline resource$$bcr$$2rdacarrier
000824121 347__ $$atext file$$bPDF$$2rda
000824121 4901_ $$aStudies in computational intelligence,$$x1860-949X ;$$vvolume 744
000824121 5050_ $$aMathematical Analysis of Nature-Inspired Algorithms -- A Review of No Free Lunch Theorems, and their Implications for Metaheuristic Optimisation -- Global Convergence Analysis of Cuckoo Search Using Markov Theory -- On Effeciently Solving the Vehicle Routing Problem with Time Windows Using the Bat Algorithm -- Variants of the Flower Pollination Algorithm: A Review.
000824121 506__ $$aAccess limited to authorized users.
000824121 520__ $$aThis book reviews the state-of-the-art developments in nature-inspired algorithms and their applications in various disciplines, ranging from feature selection and engineering design optimization to scheduling and vehicle routing. It introduces each algorithm and its implementation with case studies as well as extensive literature reviews, and also includes self-contained chapters featuring theoretical analyses, such as convergence analysis and no-free-lunch theorems so as to provide insights into the current nature-inspired optimization algorithms. Topics include ant colony optimization, the bat algorithm, B-spline curve fitting, cuckoo search, feature selection, economic load dispatch, the firefly algorithm, the flower pollination algorithm, knapsack problem, octonian and quaternion representations, particle swarm optimization, scheduling, wireless networks, vehicle routing with time windows, and maximally different alternatives. This timely book serves as a practical guide and reference resource for students, researchers and professionals.
000824121 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed October 23, 2017).
000824121 650_0 $$aNatural computation.
000824121 650_0 $$aSwarm intelligence.
000824121 7001_ $$aYang, Xin-She,$$eeditor.
000824121 77608 $$iPrint version: $$z9783319676685
000824121 830_0 $$aStudies in computational intelligence ;$$vv. 744.
000824121 852__ $$bebk
000824121 85640 $$3SpringerLink$$uhttps://univsouthin.idm.oclc.org/login?url=http://link.springer.com/10.1007/978-3-319-67669-2$$zOnline Access$$91397441.1
000824121 909CO $$ooai:library.usi.edu:824121$$pGLOBAL_SET
000824121 980__ $$aEBOOK
000824121 980__ $$aBIB
000824121 982__ $$aEbook
000824121 983__ $$aOnline
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