000 03523nam a22005775i 4500
001 978-3-319-26245-1
003 DE-He213
005 20220801222011.0
007 cr nn 008mamaa
008 151210s2016 sz | s |||| 0|eng d
020 _a9783319262451
_9978-3-319-26245-1
024 7 _a10.1007/978-3-319-26245-1
_2doi
050 4 _aTA1-2040
072 7 _aTN
_2bicssc
072 7 _aTEC009020
_2bisacsh
072 7 _aTN
_2thema
082 0 4 _a624
_223
245 1 0 _aMetaheuristics and Optimization in Civil Engineering
_h[electronic resource] /
_cedited by Xin-She Yang, Gebrail Bekdaş, Sinan Melih Nigdeli.
250 _a1st ed. 2016.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2016.
300 _aXI, 302 p. 110 illus., 75 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aModeling and Optimization in Science and Technologies,
_x2196-7334 ;
_v7
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.
650 0 _aCivil engineering.
_910082
650 0 _aComputational intelligence.
_97716
650 0 _aMechanics, Applied.
_93253
650 0 _aOperations research.
_912218
650 1 4 _aCivil Engineering.
_910082
650 2 4 _aComputational Intelligence.
_97716
650 2 4 _aEngineering Mechanics.
_931830
650 2 4 _aOperations Research and Decision Theory.
_931599
700 1 _aYang, Xin-She.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_959156
700 1 _aBekdaş, Gebrail.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_959157
700 1 _aNigdeli, Sinan Melih.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_959158
710 2 _aSpringerLink (Online service)
_959159
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783319262437
776 0 8 _iPrinted edition:
_z9783319262444
776 0 8 _iPrinted edition:
_z9783319799148
830 0 _aModeling and Optimization in Science and Technologies,
_x2196-7334 ;
_v7
_959160
856 4 0 _uhttps://doi.org/10.1007/978-3-319-26245-1
912 _aZDB-2-ENG
912 _aZDB-2-SXE
942 _cEBK
999 _c80291
_d80291