000753052 000__ 03175cam\a2200505Ii\4500 000753052 001__ 753052 000753052 005__ 20230306141536.0 000753052 006__ m\\\\\o\\d\\\\\\\\ 000753052 007__ cr\cn\nnnunnun 000753052 008__ 151221t20152016sz\a\\\\o\\\\\000\0\eng\d 000753052 019__ $$a932593511$$a933784380 000753052 020__ $$a9783319262451$$q(electronic book) 000753052 020__ $$a3319262459$$q(electronic book) 000753052 020__ $$z9783319262437 000753052 020__ $$z3319262432 000753052 0247_ $$a10.1007/978-3-319-26245-1$$2doi 000753052 035__ $$aSP(OCoLC)ocn933222899 000753052 035__ $$aSP(OCoLC)933222899$$z(OCoLC)932593511$$z(OCoLC)933784380 000753052 037__ $$a879552$$bMIL 000753052 040__ $$aGW5XE$$beng$$erda$$epn$$cGW5XE$$dIDEBK$$dOCLCF$$dYDXCP$$dNUI$$dCOO$$dEBLCP 000753052 049__ $$aISEA 000753052 050_4 $$aTA145 000753052 08204 $$a624$$223 000753052 24500 $$aMetaheuristics and optimization in civil engineering$$h[electronic resource] /$$cXin-She Yang, Gebrail Bekdaş, Sinan Melih Nigdeli, editors. 000753052 264_1 $$aCham :$$bSpringer,$$c[2015]. 000753052 264_4 $$c©2016 000753052 300__ $$a1 online resource (xi, 302 pages) :$$billustrations. 000753052 336__ $$atext$$btxt$$2rdacontent 000753052 337__ $$acomputer$$bc$$2rdamedia 000753052 338__ $$aonline resource$$bcr$$2rdacarrier 000753052 4901_ $$aModeling and optimization in science and technologies,$$x2196-7326 ;$$vvolume 7 000753052 506__ $$aAccess limited to authorized users. 000753052 520__ $$aThis timely book deals with a current topic, i.e. the applications of metaheuristic algorithms, with a primary focus on optimization problems in civil engineering. The first chapter offers a concise overview of different kinds of metaheuristic algorithms, explaining their advantages in solving complex engineering problems that cannot be effectively tackled by traditional methods, and citing the most important works for further reading. The remaining chapters report on advanced studies on the applications of certain metaheuristic algorithms to specific engineering problems. Genetic algorithm, bat algorithm, cuckoo search, harmony search and simulated annealing are just some of the methods presented and discussed step by step in real-application contexts, in which they are often used in combination with each other. Thanks to its synthetic yet meticulous and practice-oriented approach, the book is a perfect guide for graduate students, researchers and professionals willing to applying metaheuristic algorithms in civil engineering and other related engineering fields, such as mechanical, transport and geotechnical engineering. It is also a valuable aid for both lectures and advanced engineering students. 000753052 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed December 21, 2015). 000753052 650_0 $$aCivil engineering. 000753052 650_0 $$aMathematical optimization. 000753052 7001_ $$aYang, Xin-She,$$eeditor. 000753052 7001_ $$aBekdaş, Gebrail,$$eeditor. 000753052 7001_ $$aNigdeli, Sinan Melih,$$eeditor. 000753052 77608 $$iPrint version:$$z3319262432$$z9783319262437$$w(OCoLC)922727263 000753052 830_0 $$aModeling and optimization in science and technologies ;$$vvolume 7. 000753052 852__ $$bebk 000753052 85640 $$3SpringerLink$$uhttps://univsouthin.idm.oclc.org/login?url=http://link.springer.com/10.1007/978-3-319-26245-1$$zOnline Access$$91397441.1 000753052 909CO $$ooai:library.usi.edu:753052$$pGLOBAL_SET 000753052 980__ $$aEBOOK 000753052 980__ $$aBIB 000753052 982__ $$aEbook 000753052 983__ $$aOnline 000753052 994__ $$a92$$bISE