000			03030nam a22005175i 4500
001			978-3-642-41880-8
003			DE-He213
005			20200420211747.0
007			cr nn 008mamaa
008			140131s2014 gw | s |||| 0|eng d
020			_a9783642418808 _9978-3-642-41880-8
024	7		_a10.1007/978-3-642-41880-8 _2doi
050		4	_aHD30.23
072		7	_aKJT _2bicssc
072		7	_aKJMD _2bicssc
072		7	_aBUS049000 _2bisacsh
082	0	4	_a658.40301 _223
100	1		_aAgnetis, Alessandro. _eauthor.
245	1	0	_aMultiagent Scheduling _h[electronic resource] : _bModels and Algorithms / _cby Alessandro Agnetis, Jean-Charles Billaut, Stanis�aw Gawiejnowicz, Dario Pacciarelli, Ameur Soukhal.
264		1	_aBerlin, Heidelberg : _bSpringer Berlin Heidelberg : _bImprint: Springer, _c2014.
300			_aXIII, 271 p. 55 illus. _bonline resource.
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
347			_atext file _bPDF _2rda
505	0		_a1. Multiagent Scheduling Fundamentals -- 2. Problems, Algorithms and Complexity -- 3. Single Machine Problems -- 4. Batching Scheduling Problems -- 5. Parallel Machine Scheduling Problems -- 6. Scheduling Problems with Variable Job Processing Times -- References.
520			_aScheduling theory has received a growing interest since its origins in the second half of the 20th century. Developed initially for the study of scheduling problems with a single objective, the theory has been recently extended to problems involving multiple criteria. However, this extension has still left a gap between the classical multi-criteria approaches and some real-life problems in which not all jobs contribute to the evaluation of each criterion. In this book, we close this gap by presenting and developing multi-agent scheduling models in which subsets of jobs sharing the same resources are evaluated by different criteria. Several scenarios are introduced, depending on the definition and the intersection structure of the job subsets. Complexity results, approximation schemes, heuristics and exact algorithms are discussed for single-machine and parallel-machine scheduling environments. Definitions and algorithms are illustrated with the help of examples and figures.  .
650		0	_aBusiness.
650		0	_aOperations research.
650		0	_aDecision making.
650		0	_aComputers.
650	1	4	_aBusiness and Management.
650	2	4	_aOperation Research/Decision Theory.
650	2	4	_aModels and Principles.
700	1		_aBillaut, Jean-Charles. _eauthor.
700	1		_aGawiejnowicz, Stanis�aw. _eauthor.
700	1		_aPacciarelli, Dario. _eauthor.
700	1		_aSoukhal, Ameur. _eauthor.
710	2		_aSpringerLink (Online service)
773	0		_tSpringer eBooks
776	0	8	_iPrinted edition: _z9783642418792
856	4	0	_uhttp://dx.doi.org/10.1007/978-3-642-41880-8
912			_aZDB-2-SBE
942			_cEBK
999			_c51046 _d51046