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