000929961 000__ 03379cam\a2200505Ii\4500 000929961 001__ 929961 000929961 005__ 20230306151427.0 000929961 006__ m\\\\\o\\d\\\\\\\\ 000929961 007__ cr\un\nnnunnun 000929961 008__ 200321s2020\\\\si\\\\\\ob\\\\000\0\eng\d 000929961 019__ $$a1145546486 000929961 020__ $$a9789811521331$$q(electronic book) 000929961 020__ $$a9811521336$$q(electronic book) 000929961 020__ $$z9811521328 000929961 020__ $$z9789811521324 000929961 035__ $$aSP(OCoLC)on1145312019 000929961 035__ $$aSP(OCoLC)1145312019$$z(OCoLC)1145546486 000929961 040__ $$aYDX$$beng$$erda$$epn$$cYDX$$dGW5XE$$dEBLCP 000929961 049__ $$aISEA 000929961 050_4 $$aQA76.9.N37 000929961 08204 $$a006.3/82$$223 000929961 24500 $$aFrontier applications of nature inspired computation /$$cMahdi Khosravy, Neeraj Gupta, Nilesh Patel, Tomonobu Senjyu, editors. 000929961 264_1 $$aSingapore :$$bSpringer,$$c[2020] 000929961 264_4 $$c©2020 000929961 300__ $$a1 online resource. 000929961 336__ $$atext$$btxt$$2rdacontent 000929961 337__ $$acomputer$$bc$$2rdamedia 000929961 338__ $$aonline resource$$bcr$$2rdacarrier 000929961 4901_ $$aSpringer tracts in nature-inspired computing 000929961 504__ $$aIncludes bibliographical references. 000929961 5050_ $$aNature-inspired Metaheuristic Optimization: Recent Advances and Applications -- Prediction in Nature Inspired Dynamic Optimization -- Plants Genetics Inspired Evolutionary Optimization: A Descriptive Tutorial -- Trends on fitness landscape analysis in evolutionary computation and meta-heuristics -- Lion Algorithm and its Applications -- A self-adaptive nature-inspired procedure for solving the quadratic assignment problem. 000929961 506__ $$aAccess limited to authorized users. 000929961 520__ $$aThis book addresses the frontier advances in the theory and application of nature-inspired optimization techniques, including solving the quadratic assignment problem, prediction in nature-inspired dynamic optimization, the lion algorithm and its applications, optimizing the operation scheduling of microgrids, PID controllers for two-legged robots, optimizing crane operating times, planning electrical energy distribution systems, automatic design and evaluation of classification pipelines, and optimizing wind-energy power generation plants. The book also presents a variety of nature-inspired methods and illustrates methods of adapting these to said applications. Nature-inspired computation, developed by mimicking natural phenomena, makes a significant contribution toward the solution of non-convex optimization problems that normal mathematical optimizers fail to solve. As such, a wide range of nature-inspired computing approaches has been used in multidisciplinary engineering applications. Written by researchers and developers from a variety of fields, this book presents the latest findings, novel techniques and pioneering applications. 000929961 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed April 8, 2020). 000929961 650_0 $$aNatural computation. 000929961 7001_ $$aKhosravy, Mahdi,$$eeditor. 000929961 7001_ $$aGupta, Neeraj,$$eeditor. 000929961 7001_ $$aPatel, Nilesh,$$eeditor. 000929961 7001_ $$aSenjyu, Tomonobu,$$eeditor. 000929961 77608 $$iPrint version:$$z9811521328$$z9789811521324$$w(OCoLC)1127659660 000929961 830_0 $$aSpringer tracts in nature-inspired computing. 000929961 852__ $$bebk 000929961 85640 $$3SpringerLink$$uhttps://univsouthin.idm.oclc.org/login?url=http://link.springer.com/10.1007/978-981-15-2133-1$$zOnline Access$$91397441.1 000929961 909CO $$ooai:library.usi.edu:929961$$pGLOBAL_SET 000929961 980__ $$aEBOOK 000929961 980__ $$aBIB 000929961 982__ $$aEbook 000929961 983__ $$aOnline 000929961 994__ $$a92$$bISE