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: eBook
Language: English
Published: Cham, Switzerland : Springer, [2016]
Series: Advances in intelligent systems and computing ; v. 513.
Subjects:
Computational intelligence > Congresses.
elektronické knihy
electronic books
ISBN: 9783319465623
9783319465616
Physical Description: 1 online resource (ix, 508 pages) : illustrations (some color)

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Table of contents

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024 7 |a 10.1007/978-3-319-46562-3  |2 doi 
035 |a (OCoLC)958457187 
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 
337 |a počítač  |b c  |2 rdamedia 
338 |a online zdroj  |b cr  |2 rdacarrier 
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 
506 |a Plný text je dostupný pouze z IP adres počítačů Univerzity Tomáše Bati ve Zlíně nebo vzdáleným přístupem pro zaměstnance a studenty 
520 |a 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 on peer-reviewed contributions presented at the 16th Annual UK Workshop on Computational Intelligence, held on September 7-9, 2016, in Lancaster, UK. The book puts a special emphasis on novels methods and reports on their use in a wide range of applications areas, thus providing both academics and professionals with a comprehensive and timely overview of new trends in computational intelligence. 
590 |a SpringerLink  |b Springer Complete eBooks 
650 0 |a Computational intelligence  |v Congresses. 
655 7 |a elektronické knihy  |7 fd186907  |2 czenas 
655 9 |a electronic books  |2 eczenas 
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. 
830 0 |a Advances in intelligent systems and computing ;  |v v. 513.  |x 2194-5357 
856 4 0 |u https://proxy.k.utb.cz/login?url=https://link.springer.com/10.1007/978-3-319-46562-3  |y Plný text 
992 |c NTK-SpringerENG 
999 |c 99340  |d 99340 

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