000922320 000__ 02976cam\a2200457Ia\4500 000922320 001__ 922320 000922320 005__ 20230306150827.0 000922320 006__ m\\\\\o\\d\\\\\\\\ 000922320 007__ cr\un\nnnunnun 000922320 008__ 190824s2020\\\\si\\\\\\o\\\\\000\0\eng\d 000922320 019__ $$a1117282320$$a1117706360$$a1119639087$$a1120120659$$a1120962427$$a1121268369 000922320 020__ $$a9789811392634$$q(electronic book) 000922320 020__ $$a9811392633$$q(electronic book) 000922320 020__ $$z9789811392627 000922320 0248_ $$a10.1007/978-981-13-9 000922320 035__ $$aSP(OCoLC)on1112420923 000922320 035__ $$aSP(OCoLC)1112420923$$z(OCoLC)1117282320$$z(OCoLC)1117706360$$z(OCoLC)1119639087$$z(OCoLC)1120120659$$z(OCoLC)1120962427$$z(OCoLC)1121268369 000922320 040__ $$aEBLCP$$beng$$epn$$cEBLCP$$dGW5XE$$dLQU$$dOCLCF$$dOCLCQ$$dYDX$$dN$T 000922320 049__ $$aISEA 000922320 050_4 $$aQA76.9.N37 000922320 08204 $$a006.3/82$$223 000922320 24500 $$aApplied nature-inspired computing :$$balgorithms and case studies /$$cNilanjan Dey, Amira S. Ashour, Siddhartha Bhattacharyya, editors. 000922320 260__ $$aSingapore :$$bSpringer,$$c2020. 000922320 300__ $$a1 online resource (281 pages) 000922320 336__ $$atext$$btxt$$2rdacontent 000922320 337__ $$acomputer$$bc$$2rdamedia 000922320 338__ $$aonline resource$$bcr$$2rdacarrier 000922320 4901_ $$aSpringer Tracts in Nature-Inspired Computing Ser. 000922320 506__ $$aAccess limited to authorized users. 000922320 520__ $$aThis book presents a cutting-edge research procedure in the Nature-Inspired Computing (NIC) domain and its connections with computational intelligence areas in real-world engineering applications. It introduces readers to a broad range of algorithms, such as genetic algorithms, particle swarm optimization, the firefly algorithm, flower pollination algorithm, collision-based optimization algorithm, bat algorithm, ant colony optimization, and multi-agent systems. In turn, it provides an overview of meta-heuristic algorithms, comparing the advantages and disadvantages of each. Moreover, the book provides a brief outline of the integration of nature-inspired computing techniques and various computational intelligence paradigms, and highlights nature-inspired computing techniques in a range of applications, including: evolutionary robotics, sports training planning, assessment of water distribution systems, flood simulation and forecasting, traffic control, gene expression analysis, antenna array design, and scheduling/dynamic resource management. 000922320 588__ $$aDescription based on print version record. 000922320 650_0 $$aNatural computation. 000922320 7001_ $$aDey, Nilanjan,$$d1984- 000922320 7001_ $$aAshour, Amira,$$d1975- 000922320 7001_ $$aBhattacharyya, Siddhartha,$$d1975- 000922320 77608 $$iPrint version:$$aDey, Nilanjan.$$tApplied Nature-Inspired Computing: Algorithms and Case Studies.$$dSingapore : Springer, ©2019$$z9789811392627 000922320 830_0 $$aSpringer Tracts in Nature-Inspired Computing. 000922320 852__ $$bebk 000922320 85640 $$3SpringerLink$$uhttps://univsouthin.idm.oclc.org/login?url=http://link.springer.com/10.1007/978-981-13-9263-4$$zOnline Access$$91397441.1 000922320 909CO $$ooai:library.usi.edu:922320$$pGLOBAL_SET 000922320 980__ $$aEBOOK 000922320 980__ $$aBIB 000922320 982__ $$aEbook 000922320 983__ $$aOnline 000922320 994__ $$a92$$bISE