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001			299385
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008			150903s2008 gw | o |||| 0|eng d
020			_a9783540926955 _99783540926955
024	7		_a10.1007/9783540926955 _2doi
035			_avtls000352663
039		9	_a201509030921 _bVLOAD _c201405060308 _dVLOAD _y201402180925 _zstaff
040			_aMX-SnUAN _bspa _cMX-SnUAN _erda
050		4	_aQA75.5-76.95
100	1		_aManiezzo, Vittorio. _eeditor. _9314272
245	1	0	_aLearning and Intelligent Optimization : _bSecond International Conference, LION 2007 II, Trento, Italy, December 8-12, 2007. Selected Papers / _cedited by Vittorio Maniezzo, Roberto Battiti, Jean-Paul Watson.
264		1	_aBerlin, Heidelberg : _bSpringer Berlin Heidelberg, _c2008.
300			_brecurso en línea.
336			_atexto _btxt _2rdacontent
337			_acomputadora _bc _2rdamedia
338			_arecurso en línea _bcr _2rdacarrier
347			_aarchivo de texto _bPDF _2rda
490	0		_aLecture Notes in Computer Science, _x0302-9743 ; _v5313
500			_aSpringer eBooks
505	0		_aNested Partitioning for the Minimum Energy Broadcast Problem -- An Adaptive Memory-Based Approach Based on Partial Enumeration -- Learning While Optimizing an Unknown Fitness Surface -- On Effectively Finding Maximal Quasi-cliques in Graphs -- Improving the Exploration Strategy in Bandit Algorithms -- Learning from the Past to Dynamically Improve Search: A Case Study on the MOSP Problem -- Image Thresholding Using TRIBES, a Parameter-Free Particle Swarm Optimization Algorithm -- Explicit and Emergent Cooperation Schemes for Search Algorithms -- Multiobjective Landscape Analysis and the Generalized Assignment Problem -- Limited-Memory Techniques for Sensor Placement in Water Distribution Networks -- A Hybrid Clustering Algorithm Based on Honey Bees Mating Optimization and Greedy Randomized Adaptive Search Procedure -- Ant Colony Optimization and the Minimum Spanning Tree Problem -- A Vector Assignment Approach for the Graph Coloring Problem -- Rule Extraction from Neural Networks Via Ant Colony Algorithm for Data Mining Applications -- Tuning Local Search by Average-Reward Reinforcement Learning -- Evolution of Fitness Functions to Improve Heuristic Performance -- A Continuous Characterization of Maximal Cliques in k-Uniform Hypergraphs -- Hybrid Heuristics for Multi-mode Resource-Constrained Project Scheduling.
520			_aThis book constitutes the thoroughly refereed post-conference proceedings of the Second International Conference on Learning and Intelligent Optimization, LION 2007 II, held in Trento, Italy, in December 2007. The 18 revised full papers were carefully reviewed and selected from 48 submissions for inclusion in the book. The papers cover current issues of machine learning, artificial intelligence, mathematical programming and algorithms for hard optimization problems and are organized in topical sections on improving optimization through learning, variable neighborhood search, insect colony optimization, applications, new paradigms, cliques, stochastic optimization, combinatorial optimization, fitness and landscapes, and particle swarm optimization.
590			_aPara consulta fuera de la UANL se requiere clave de acceso remoto.
700	1		_aBattiti, Roberto. _eeditor. _9299925
700	1		_aWatson, Jean-Paul. _eeditor. _9318697
710	2		_aSpringerLink (Servicio en línea) _9299170
776	0	8	_iEdición impresa: _z9783540926948
856	4	0	_uhttp://remoto.dgb.uanl.mx/login?url=http://dx.doi.org/10.1007/978-3-540-92695-5 _zConectar a Springer E-Books (Para consulta externa se requiere previa autentificación en Biblioteca Digital UANL)
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999			_c299385 _d299385