000 03014nam a22004935i 4500
001 978-3-642-11218-8
003 DE-He213
005 20140220084530.0
007 cr nn 008mamaa
008 100301s2010 gw | s |||| 0|eng d
020 _a9783642112188
_9978-3-642-11218-8
024 7 _a10.1007/978-3-642-11218-8
_2doi
050 4 _aTA329-348
050 4 _aTA640-643
072 7 _aTBJ
_2bicssc
072 7 _aMAT003000
_2bisacsh
082 0 4 _a519
_223
100 1 _aCoello Coello, Carlos A.
_eeditor.
245 1 0 _aAdvances in Multi-Objective Nature Inspired Computing
_h[electronic resource] /
_cedited by Carlos A. Coello Coello, Clarisse Dhaenens, Laetitia Jourdan.
264 1 _aBerlin, Heidelberg :
_bSpringer Berlin Heidelberg,
_c2010.
300 _bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aStudies in Computational Intelligence,
_x1860-949X ;
_v272
505 0 _aMulti-Objective Combinatorial Optimization: Problematic and Context -- Approximating Pareto-Optimal Sets Using Diversity Strategies in Evolutionary Multi-Objective Optimization -- On the Velocity Update in Multi-Objective Particle Swarm Optimizers -- Approaching Dynamic Multi-Objective Optimization Problems by Using Parallel Evolutionary Algorithms -- ParadisEO-MOEO: A Software Framework for Evolutionary Multi-Objective Optimization -- The Multiobjective Traveling Salesman Problem: A Survey and a New Approach -- On the Performance of Local Search for the Biobjective Traveling Salesman Problem -- A Bi-objective Metaheuristic for Disaster Relief Operation Planning.
520 _aThe purpose of this book is to collect contributions that deal with the use of nature inspired metaheuristics for solving multi-objective combinatorial optimization problems. Such a collection intends to provide an overview of the state-of-the-art developments in this field, with the aim of motivating more researchers in operations research, engineering, and computer science, to do research in this area. As such, this book is expected to become a valuable reference for those wishing to do research on the use of nature inspired metaheuristics for solving multi-objective combinatorial optimization problems.
650 0 _aEngineering.
650 0 _aArtificial intelligence.
650 0 _aEngineering mathematics.
650 1 4 _aEngineering.
650 2 4 _aAppl.Mathematics/Computational Methods of Engineering.
650 2 4 _aArtificial Intelligence (incl. Robotics).
700 1 _aDhaenens, Clarisse.
_eeditor.
700 1 _aJourdan, Laetitia.
_eeditor.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9783642112171
830 0 _aStudies in Computational Intelligence,
_x1860-949X ;
_v272
856 4 0 _uhttp://dx.doi.org/10.1007/978-3-642-11218-8
912 _aZDB-2-ENG
999 _c111813
_d111813