000 02749nam a22005175i 4500
001 978-3-642-20364-0
003 DE-He213
005 20140220083800.0
007 cr nn 008mamaa
008 110426s2011 gw | s |||| 0|eng d
020 _a9783642203640
_9978-3-642-20364-0
024 7 _a10.1007/978-3-642-20364-0
_2doi
050 4 _aQA76.9.A43
072 7 _aUMB
_2bicssc
072 7 _aCOM051300
_2bisacsh
082 0 4 _a005.1
_223
100 1 _aMerz, Peter.
_eeditor.
245 1 0 _aEvolutionary Computation in Combinatorial Optimization
_h[electronic resource] :
_b11th European Conference, EvoCOP 2011, Torino, Italy, April 27-29, 2011. Proceedings /
_cedited by Peter Merz, Jin-Kao Hao.
264 1 _aBerlin, Heidelberg :
_bSpringer Berlin Heidelberg,
_c2011.
300 _aXIV, 263 p.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aLecture Notes in Computer Science,
_x0302-9743 ;
_v6622
520 _aThis book constitutes the refereed proceedings of the 11th European Conference on Evolutionary Computation in Combinatorial Optimization, EvoCOP 2011, held in Torino, Italy, in April 2011. The 22 revised full papers presented were carefully reviewed and selected from 42 submissions. The papers present the latest research and discuss current developments and applications in metaheuristics - a paradigm to effectively solve difficult combinatorial optimization problems appearing in various industrial, economical, and scientific domains. Prominent examples of metaheuristics are evolutionary algorithms, simulated annealing, tabu search, scatter search, memetic algorithms, variable neighborhood search, iterated local search, greedy randomized adaptive search procedures, estimation of distribution algorithms, and ant colony optimization.
650 0 _aComputer science.
650 0 _aComputer software.
650 0 _aComputational complexity.
650 0 _aOptical pattern recognition.
650 1 4 _aComputer Science.
650 2 4 _aAlgorithm Analysis and Problem Complexity.
650 2 4 _aComputation by Abstract Devices.
650 2 4 _aPattern Recognition.
650 2 4 _aDiscrete Mathematics in Computer Science.
650 2 4 _aProbability and Statistics in Computer Science.
700 1 _aHao, Jin-Kao.
_eeditor.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9783642203633
830 0 _aLecture Notes in Computer Science,
_x0302-9743 ;
_v6622
856 4 0 _uhttp://dx.doi.org/10.1007/978-3-642-20364-0
912 _aZDB-2-SCS
912 _aZDB-2-LNC
999 _c107773
_d107773