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020			_a9783540926955 _9978-3-540-92695-5
024	7		_a10.1007/978-3-540-92695-5 _2doi
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245	1	0	_aLearning and Intelligent Optimization _h[electronic resource] : _bSecond International Conference, LION 2007 II, Trento, Italy, December 8-12, 2007. Selected Papers / _cedited by Vittorio Maniezzo, Roberto Battiti, Jean-Paul Watson.
250			_a1st ed. 2008.
264		1	_aBerlin, Heidelberg : _bSpringer Berlin Heidelberg : _bImprint: Springer, _c2008.
300			_aXII, 243 p. _bonline resource.
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
347			_atext file _bPDF _2rda
490	1		_aTheoretical Computer Science and General Issues, _x2512-2029 ; _v5313
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.
650		0	_aComputer programming. _94169
650		0	_aComputer science. _99832
650		0	_aAlgorithms. _93390
650		0	_aNumerical analysis. _94603
650		0	_aComputer science _xMathematics. _93866
650		0	_aMathematical statistics. _99597
650		0	_aArtificial intelligence. _93407
650	1	4	_aProgramming Techniques. _9148380
650	2	4	_aTheory of Computation. _9148381
650	2	4	_aAlgorithms. _93390
650	2	4	_aNumerical Analysis. _94603
650	2	4	_aProbability and Statistics in Computer Science. _931857
650	2	4	_aArtificial Intelligence. _93407
700	1		_aManiezzo, Vittorio. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt _9148382
700	1		_aBattiti, Roberto. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt _9148383
700	1		_aWatson, Jean-Paul. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt _9148384
710	2		_aSpringerLink (Online service) _9148385
773	0		_tSpringer Nature eBook
776	0	8	_iPrinted edition: _z9783540926948
776	0	8	_iPrinted edition: _z9783540926962
830		0	_aTheoretical Computer Science and General Issues, _x2512-2029 ; _v5313 _9148386
856	4	0	_uhttps://doi.org/10.1007/978-3-540-92695-5
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