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020			_a9783319401324
040			_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC
050		4	_aQA402.5 _b2016 EB
245	0	0	_aRecent Advances in Computational Optimization : _bResults of the Workshop on Computational Optimization WCO 2015 _cedited by Stefka Fidanova
260			_aCham _bSpringer International Publishing _c2016
300			_a1 recurso en línea (X, 303 páginas) _b102 ilustraciones, 55 ilustraciones en color
336			_aTexto _btxt _2rdacontent
337			_aelectrónico _bc _2rdamedia
338			_arecurso electrónico _bcr _2rdacarrier
490	0		_aStudies in Computational Intelligence _x1860-949X _v655
505	0		_aFast Output-Sensitive Approach for Minimum Convex Hulls Formation -- Local Search Algorithms for Portfolio Selection: Search Space and Correlation Analysis -- Optimization of Fuel Consumption in Firefighting Water Capsule Flights of a Helicopter -- Practical Application of OFN arithmetics in a Crisis Control Center Monitoring -- Forecasting Indoor Temperature Using Fuzzy Cognitive Maps with Structure Optimization Genetic Algorithm -- Correlation Clustering by Contraction, a More Effective Method -- Synthesis of Power Aware Adaptive Embedded Software Using Developmental Genetic Programming -- Flow Design and Evaluation in Photonic Data Transport Network -- Introducing the Environment in Ant Colony Optimization -- Fast Preconditioned Solver for Truncated Saddle Point Problem in Nonsmooth Cahn-Hilliard Model -- The Constraints Aggregation Technique for Control of Ethanol Production -- InterCriteria Analysis by Pairs and Triples of Genetic Algorithms Application for Models Identification -- Genetic Algorithms for Constrained Tree Problems -- InterCriteria Analysis of Genetic Algorithms Performance -- Exploring Sparse Covariance Estimation Techniques in Evolution Strategies -- Parallel Metaheuristics for Robust Graph Coloring Problem.
520	3		_aThis volume is a comprehensive collection of extended contributions from the Workshop on Computational Optimization 2015. It presents recent advances in computational optimization. The volume includes important real life problems like parameter settings for controlling processes in bioreactor, control of ethanol production, minimal convex hill with application in routing algorithms, graph coloring, flow design in photonic data transport system, predicting indoor temperature, crisis control center monitoring, fuel consumption of helicopters, portfolio selection, GPS surveying and so on. It shows how to develop algorithms for them based on new metaheuristic methods like evolutionary computation, ant colony optimization, constrain programming and others. This research demonstrates how some real-world problems arising in engineering, economics, medicine and other domains can be formulated as optimization problems. .
988	0	0	_aEBOOK, EBSPRINGER
650		7	_aOptimización combinatoria _2embne _9157651
650		7	_aInteligencia artificial _2embne _9413115
700	1		_aFidanova, Stefka _eeditor literario _0Local _997135
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://link.springer.com/book/10.1007/978-3-319-40132-4 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
901			_ai9783319401324
907			_a.b12954536 _b10-10-17 _c21-11-16
942			_2lcc _cLE
945			_aQA402.5 R434 2016 EB _g1 _ieBOOK _j0 _lmae _o- _pEUR0.00 _q- _r- _sb _t15 _u0 _v0 _w0 _x0 _y.i11596892 _z06-04-17
998			_aSI _b10/2019 _cm _dz _ea _feng _ggw _h0