Advances in computational intelligence systems : contributions presented at the 16th UK Workshop on Computational Intelligence, September 7-9, 2016, Lancaster, UK

The book is a timely report on advanced methods and applications of computational intelligence systems. It covers a long list of interconnected research areas, such as fuzzy systems, neural networks, evolutionary computation, evolving systems and machine learning. The individual chapters are based o...

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Bibliographic Details
Corporate Author UK Workshop on Computational Intelligence Lancaster, England
Other Authors Angelov, Plamen P. (Editor), Gegov, Alexander (Editor), Jayne, Chrisina (Editor), Shen, Qiang (Editor)
Format Electronic eBook
LanguageEnglish
Published Cham, Switzerland : Springer, [2016]
SeriesAdvances in intelligent systems and computing ; v. 513.
Subjects
Computational intelligence > Congresses.
elektronické knihy
electronic books
Online AccessFull text
ISBN9783319465623
9783319465616
ISSN2194-5357 ;
Physical Description1 online resource (ix, 508 pages) : illustrations (some color)

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111 2 |a UK Workshop on Computational Intelligence  |n (16th :  |d 2016 :  |c Lancaster, England) 
245 1 0 |a Advances in computational intelligence systems :  |b contributions presented at the 16th UK Workshop on Computational Intelligence, September 7-9, 2016, Lancaster, UK /  |c Plamen Angelov, Alexander Gegov, Chrisina Jayne, Qiang Shen, editors. 
264 1 |a Cham, Switzerland :  |b Springer,  |c [2016] 
264 4 |c ©2017 
300 |a 1 online resource (ix, 508 pages) :  |b illustrations (some color) 
336 |a text  |b txt  |2 rdacontent 
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490 1 |a Advances in intelligent systems and computing,  |x 2194-5357 ;  |v volume 513 
505 0 |a Preface; 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 |a 2 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 |a 2.1 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 |a 5.3 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 
505 8 |a 4.1 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 
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700 1 |a Angelov, Plamen P.,  |e editor. 
700 1 |a Gegov, Alexander,  |e editor. 
700 1 |a Jayne, Chrisina,  |e editor. 
700 1 |a Shen, Qiang,  |e editor. 
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