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020			_a9783319211336
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 2014 _cedited by Stefka Fidanova
264		1	_aCham _bSpringer International Publishing _c2016
300			_a1 recurso en línea (X, 244 páginas) _b90 ilustraciones, 15 ilustraciones en color
336			_aTexto _btxt _2rdacontent
337			_aelectrónico _bc _2rdamedia
338			_arecurso electrónico _bcr _2rdacarrier
490	1		_aStudies in Computational Intelligence _x1860-949X _v610
505	0		_aFinding Otimal Discretization Orders for Molecular Distance Geometry by Answer Set Programming -- Estimation of Edge Infection Probabilities in the Inverse Infection Problem -- On a Quantum Algorithm for the Resolution of Systems of Linear Equations -- Synthesis of Self-Adaptive Supervisors of Multi-Task Real-Time Object-Oriented Systems Using Developmental Genetic Programming -- Direct Shooting Method for Optimal Control of the Highly Nonlinear Differential-Algebraic Systems -- A Review on the Direct and Indirect Methods for Solving Optimal Control Problems with Differential-Algebraic Constraints -- InterCriteria Analysis of ACO and GA Hybrid Algorithms -- A Two-Stage Look-Ahead Heuristic for Packing Spheres into a Three-Dimensional Bin of Minimum Length -- Handling Lower Bound and Hill-Climbing Strategies for Sphere Packing Problems -- Multi-Objective Meta-Evolution Method for Large-Scale Optimization Problems -- Dispersive Flies Optimisation and Medical Imaging -- An Efficient Solution of the Resource Constrained Project Scheduling Problem Based on an Adaptation of the Developmental Genetic Programming -- Bayesian-Based Approach to Application of the Genetic Algorithm to Localize the Abrupt Atmospheric Contamination Source.
520	3		_aThis volume is a comprehensive collection of extended contributions from the Workshop on Computational Optimization 2014, held at Warsaw, Poland, September 7-10, 2014. The book presents recent advances in computational optimization. The volume includes important real problems like parameter settings for controlling processes in bioreactor and other processes, resource constrained project scheduling, infection distribution, molecule distance geometry, quantum computing, real-time management and optimal control, bin packing, medical image processing, localization the abrupt atmospheric contamination source 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 tasks.
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/10.1007/978-3-319-21133-6 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
901			_ai9783319211336
907			_a.b12940112 _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.i11584579 _z06-04-17
998			_b10/2019 _dz _ea _feng _ggw _h0