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001			94569
003			ES-MaUEC
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006			m o d
007			cr cnu|||unuuu
008			160916t20162017sz a o 100 0 eng d
020			_a3319465627 _q(electronic bk.)
020			_a9783319465623 _q(electronic bk.)
020			_z9783319465616 _q(print)
035			_a(OCoLC)958457187
040			_aGW5XE _cGW5XE _dOCLCO _dEBLCP _dN$T _dOCLCO _dIDEBK _dOCLCF _dOCLCO _dUAB _dIOG _dESU _dZ5A _dJBG _dIAD _dICW _dICN _dOTZ _dOCLCQ _dU3W _dES-MaUEC _bspa
050		4	_aQ342 _b.A383 2016 EB
111	2		_aUK Workshop on Computational Intelligence _n(16th : _d2016 : _cLancaster, England)
245	1	0	_aAdvances in computational intelligence systems : _bcontributions presented at the 16th UK Workshop on Computational Intelligence, September 7-9, 2016, Lancaster, UK _cPlamen Angelov, Alexander Gegov, Chrisina Jayne, Qiang Shen, editors.
264		1	_aCham, Switzerland _bSpringer _c[2016]
264		4	_c2017
300			_a1 recurso en línea (ix, 508 páginas) _bilustraciones (algunas a color)
336			_aTexto _btxt _2rdacontent
337			_aelectrónico _bc _2rdamedia
338			_arecurso electrónico _bcr _2rdacarrier
490	0		_aAdvances in intelligent systems and computing _x2194-5357 _vvolume 513
500			_aSpringerLink _bSpringer Engineering eBooks 2017 English+International
505	0		_aPreface; Contents; Search and Optimisation; 1 The Pilot Environmental Performance Index 2006 as a Tool for Optimising Environmental Sustainability at the Country Level; Abstract; 1 Introduction; 2 The Pilot EPI 2006; 3 The Proposed GA Methodology for Optimising Environmental Sustainability; 4 Comparisons Between Methodologies; 5 An Alternative Mutation-Based GA for the Generation-Wise Improvement of the ES of Any Country of Interest; 6 Conclusions; References; Integrated Demand and Supply Side Pricing Optimization Schemes for Electricity Market; 1 Introduction
505	8		_a2 Problem Formulation and Simulation Tool 2.1 Generator's Offer; 2.2 Independent System Operator (ISO); 2.3 Retail Market; 3 Balance Mechanism; 4 Numerical Results; 4.1 Parameter Setting; 4.2 Simulation Results ; 5 Conclusion; References; 3 Dynamic Resource Allocation Through Workload Prediction for Energy Efficient Computing; Abstract; 1 Introduction; 2 NARX Model Theory; 3 Experimental System Setup; 4 Results and Discussion; 5 Conclusion; References; Harmony Search Algorithm for Fuzzy Cerebellar Model Articulation Controller Networks Optimization; 1 Introduction; 2 Background
505	8		_a2.1 An Overview of Fuzzy Cerebellar Model Articulation Controller Network2.2 An Improved Harmony Search Algorithm; 3 The Approach; 4 Experimentations; 4.1 Experimental Results; 5 Conclusion; References; 5 A Dynamic Tabu Search Approach for Solving the Static Frequency Assignment Problem; Abstract; 1 Introduction; 2 Overview of the Static MO-FAP; 3 Modeling the Static MO-FAP as a Dynamic Problem; 4 Graph Coloring Model for the Static MO-FAP; 5 Overview of the Dynamic Tabu Search Approach; 5.1 Solution Space and Cost Function; 5.2 Structure of the Dynamic Tabu Search Approach
505	8		_a4.1 Experimental Settings4.2 Experimental Results; 5 Conclusions; References; Modelling and Simulation; Complex Network Based Computational Techniques for `Edgetic' Modelling of Mutations Implicated with Cardiovascular Disease; 1 Introduction; 1.1 The Role of Mutations on Disease; 2 Methods; 2.1 SNIPPETS; 2.2 Limitations of the Study; 2.3 Related Work; 3 The Relationship Between Graph Theory and Interactome Modelling; 3.1 Identification of Hub Proteins with Centrality Measures; 4 Results; 5 Conclusion; References; TSK Inference with Sparse Rule Bases; 1 Introduction; 2 Background
505	8		_a5.3 The Online Assignment Phase6 Experiments and Results; 6.1 Results of the DTS Approach; 6.2 Results Comparison with Other Algorithms; 7 Conclusions and Future Work; References; A New Multi-objective Model for Constrained Optimisation; 1 Introduction; 2 A New Multi-objective Model for Constrained Optimisation; 2.1 A Standard Two-Objective Model; 2.2 A New Multi-objective Model; 3 Multi-objective Differential Evolution for Constrained Optimisation; 3.1 MOEAs; 3.2 Constrained Multi-objective Differential Evolution; 3.3 Differential Evolution; 4 Experiments and Results
650		7	_aInteligencia artificial _2embne _0(OCoLC)fst00871995 _0 _9413115
700	1		_aAngelov, Plamen P., _eeditor literario
700	1		_aGegov, Alexander _eeditor literario _997558
700	1		_aJayne, Chrisina _eeditor literario _999965
700	1		_aShen, Qiang, _eeditor literario _9670910
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=http://link.springer.com/10.1007/978-3-319-46562-3 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
988			_aEBOOK, asignarmaterias, EBSPRINGER_2017A
998			_b02/2018 _dz _e- _zSI
999			_c94569 _d94569 _x1