000			02860nam a22005295i 4500
001			978-3-319-16000-9
003			DE-He213
005			20200421111703.0
007			cr nn 008mamaa
008			150225s2015 gw | s |||| 0|eng d
020			_a9783319160009 _9978-3-319-16000-9
024	7		_a10.1007/978-3-319-16000-9 _2doi
050		4	_aQ342
072		7	_aUYQ _2bicssc
072		7	_aCOM004000 _2bisacsh
082	0	4	_a006.3 _223
100	1		_aKulkarni, Anand Jayant. _eauthor.
245	1	0	_aProbability Collectives _h[electronic resource] : _bA Distributed Multi-agent System Approach for Optimization / _cby Anand Jayant Kulkarni, Kang Tai, Ajith Abraham.
264		1	_aCham : _bSpringer International Publishing : _bImprint: Springer, _c2015.
300			_aIX, 157 p. 68 illus. _bonline resource.
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
347			_atext file _bPDF _2rda
490	1		_aIntelligent Systems Reference Library, _x1868-4394 ; _v86
505	0		_aIntroduction to Optimization -- Probability Collectives: A Distributed Optimization Approach -- Constrained Probability Collectives: A Heuristic Approach -- Constrained Probability Collectives with a Penalty Function Approach -- Constrained Probability Collectives With Feasibility-Based Rule I -- Probability Collectives for Discrete and Mixed Variable Problems -- Probability Collectives with Feasibility-Based Rule II.
520			_aThis book provides an emerging computational intelligence tool in the framework of collective intelligence for modeling and controlling distributed multi-agent systems referred to as Probability Collectives. In the modified Probability Collectives methodology a number of constraint handling techniques are incorporated, which also reduces the computational complexity and improved the convergence and efficiency. Numerous examples and real world problems are used for illustration, which may also allow the reader to gain further insight into the associated concepts.
650		0	_aEngineering.
650		0	_aArtificial intelligence.
650		0	_aStatistical physics.
650		0	_aDynamical systems.
650		0	_aComputational intelligence.
650	1	4	_aEngineering.
650	2	4	_aComputational Intelligence.
650	2	4	_aArtificial Intelligence (incl. Robotics).
650	2	4	_aStatistical Physics, Dynamical Systems and Complexity.
700	1		_aTai, Kang. _eauthor.
700	1		_aAbraham, Ajith. _eauthor.
710	2		_aSpringerLink (Online service)
773	0		_tSpringer eBooks
776	0	8	_iPrinted edition: _z9783319159997
830		0	_aIntelligent Systems Reference Library, _x1868-4394 ; _v86
856	4	0	_uhttp://dx.doi.org/10.1007/978-3-319-16000-9
912			_aZDB-2-ENG
942			_cEBK
999			_c55089 _d55089