000 03661nam a22005535i 4500
001 978-3-662-47926-1
003 DE-He213
005 20220801222111.0
007 cr nn 008mamaa
008 150808s2016 gw | s |||| 0|eng d
020 _a9783662479261
_9978-3-662-47926-1
024 7 _a10.1007/978-3-662-47926-1
_2doi
050 4 _aQ334-342
050 4 _aTA347.A78
072 7 _aUYQ
_2bicssc
072 7 _aCOM004000
_2bisacsh
072 7 _aUYQ
_2thema
082 0 4 _a006.3
_223
245 1 0 _aHarmony Search Algorithm
_h[electronic resource] :
_bProceedings of the 2nd International Conference on Harmony Search Algorithm (ICHSA2015) /
_cedited by Joong Hoon Kim, Zong Woo Geem.
250 _a1st ed. 2016.
264 1 _aBerlin, Heidelberg :
_bSpringer Berlin Heidelberg :
_bImprint: Springer,
_c2016.
300 _aXI, 470 p. 157 illus.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aAdvances in Intelligent Systems and Computing,
_x2194-5365 ;
_v382
505 0 _aPart I Various Aspects of Optimization Algorithms -- Part II Large scale applications of HSA -- Part III Recent Variants of HSA -- Part IV Other Nature-inspired Algorithms -- Part V Related Areas and Computational Intelligence -- Part VI Optimization in Civil Engineering -- Part VII Multi-objectives variants of HSA.
520 _aThe Harmony Search Algorithm (HSA) is one of the most well-known techniques in the field of soft computing, an important paradigm in the science and engineering community.  This volume, the proceedings of the 2nd International Conference on Harmony Search Algorithm 2015 (ICHSA 2015), brings together contributions describing the latest developments in the field of soft computing with a special focus on HSA techniques. It includes coverage of new methods that have potentially immense application in various fields. Contributed articles cover aspects of the following topics related to the Harmony Search Algorithm: analytical studies; improved, hybrid and multi-objective variants; parameter tuning; and large-scale applications.  The book also contains papers discussing recent advances on the following topics: genetic algorithms; evolutionary strategies; the firefly algorithm and cuckoo search; particle swarm optimization and ant colony optimization; simulated annealing; and local search techniques.   This book offers a valuable snapshot of the current status of the Harmony Search Algorithm and related techniques, and will be a useful reference for practising researchers and advanced students in computer science and engineering.
650 0 _aArtificial intelligence.
_93407
650 0 _aComputational intelligence.
_97716
650 0 _aAlgorithms.
_93390
650 1 4 _aArtificial Intelligence.
_93407
650 2 4 _aComputational Intelligence.
_97716
650 2 4 _aAlgorithms.
_93390
700 1 _aKim, Joong Hoon.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_959701
700 1 _aGeem, Zong Woo.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_959702
710 2 _aSpringerLink (Online service)
_959703
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783662479254
776 0 8 _iPrinted edition:
_z9783662479278
830 0 _aAdvances in Intelligent Systems and Computing,
_x2194-5365 ;
_v382
_959704
856 4 0 _uhttps://doi.org/10.1007/978-3-662-47926-1
912 _aZDB-2-ENG
912 _aZDB-2-SXE
942 _cEBK
999 _c80397
_d80397