000 03314nam a22005655i 4500
001 978-1-84800-181-7
003 DE-He213
005 20141014113458.0
007 cr nn 008mamaa
008 100301s2008 xxk| s |||| 0|eng d
020 _a9781848001817
_9978-1-84800-181-7
024 7 _a10.1007/978-1-84800-181-7
_2doi
041 _aeng
050 4 _aTA177.4-185
072 7 _aTBC
_2bicssc
072 7 _aKJMV
_2bicssc
072 7 _aTEC000000
_2bisacsh
082 0 4 _a658.5
_223
100 1 _aGen, Mitsuo.
_eauthor.
245 1 0 _aNetwork Models and Optimization
_h[electronic resource] :
_bMultiobjective Genetic Algorithm Approach /
_cby Mitsuo Gen, Runwei Cheng, Lin Lin.
260 1 _aLondon :
_bSpringer London,
_c2008.
264 1 _aLondon :
_bSpringer London,
_c2008.
300 _bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aDecision Engineering,
_x1619-5736
505 0 _aMultiobjective Genetic Algorithms -- Basic Network Models -- Logistics Network Models -- Communication Network Models -- Advanced Planning and Scheduling Models -- Project Scheduling Models -- Assembly Line Balancing Models -- Tasks Scheduling Models -- Advanced Network Models.
520 _aNetwork models are critical tools in business, management, science and industry. Network Models and Optimization: Multiobjective Genetic Algorithm Approach presents an insightful, comprehensive, and up-to-date treatment of multiple objective genetic algorithms to network optimization problems in many disciplines, such as engineering, computer science, operations research, transportation, telecommunication, and manufacturing. Network Models and Optimization: Multiobjective Genetic Algorithm Approach extensively covers algorithms and applications, including shortest path problems, minimum cost flow problems, maximum flow problems, minimum spanning tree problems, travelling salesman and postman problems, location-allocation problems, project scheduling problems, multistage-based scheduling problems, logistics network problems, communication network problem, and network models in assembly line balancing problems, and airline fleet assignment problems. Network Models and Optimization: Multiobjective Genetic Algorithm Approach can be used both as a student textbook and as a professional reference for practitioners in many disciplines who use network optimization methods to model and solve problems.
650 0 _aEngineering.
650 0 _aComputer software.
650 0 _aCombinatorics.
650 0 _aEngineering economy.
650 1 4 _aEngineering.
650 2 4 _aEngineering Economics, Organization, Logistics, Marketing.
650 2 4 _aCombinatorics.
650 2 4 _aOperations Research/Decision Theory.
650 2 4 _aAlgorithm Analysis and Problem Complexity.
700 1 _aCheng, Runwei.
_eauthor.
700 1 _aLin, Lin.
_eauthor.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9781848001800
830 0 _aDecision Engineering,
_x1619-5736
856 4 0 _uhttp://dx.doi.org/10.1007/978-1-84800-181-7
912 _aZDB-2-ENG
942 _cEB
999 _c2345
_d2345