Multiobjective Genetic Algorithms For Clustering

Author : Ujjwal Maulik
Publisher : Springer Science & Business Media
ISBN 13 : 3642166156
Total Pages : 292 pages
Book Rating : 4.50/5 ( download)

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Download or read book Multiobjective Genetic Algorithms for Clustering written by Ujjwal Maulik and published by Springer Science & Business Media. This book was released on 2011-09-01 with total page 292 pages. Available in PDF, EPUB and Kindle. Book excerpt: This is the first book primarily dedicated to clustering using multiobjective genetic algorithms with extensive real-life applications in data mining and bioinformatics. The authors first offer detailed introductions to the relevant techniques – genetic algorithms, multiobjective optimization, soft computing, data mining and bioinformatics. They then demonstrate systematic applications of these techniques to real-world problems in the areas of data mining, bioinformatics and geoscience. The authors offer detailed theoretical and statistical notes, guides to future research, and chapter summaries. The book can be used as a textbook and as a reference book by graduate students and academic and industrial researchers in the areas of soft computing, data mining, bioinformatics and geoscience.

Author :
Publisher : Springer
ISBN 13 : 9783642166167
Total Pages : 300 pages
Book Rating : 4.64/5 ( download)

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Download or read book Multiobjective Genetic Algorithms for Clustering written by and published by Springer. This book was released on 2011-09-02 with total page 300 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Author : Ibrahim Aljarah
Publisher : Springer Nature
ISBN 13 : 9813341912
Total Pages : 248 pages
Book Rating : 4.13/5 ( download)

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Download or read book Evolutionary Data Clustering: Algorithms and Applications written by Ibrahim Aljarah and published by Springer Nature. This book was released on 2021-02-20 with total page 248 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides an in-depth analysis of the current evolutionary clustering techniques. It discusses the most highly regarded methods for data clustering. The book provides literature reviews about single objective and multi-objective evolutionary clustering algorithms. In addition, the book provides a comprehensive review of the fitness functions and evaluation measures that are used in most of evolutionary clustering algorithms. Furthermore, it provides a conceptual analysis including definition, validation and quality measures, applications, and implementations for data clustering using classical and modern nature-inspired techniques. It features a range of proven and recent nature-inspired algorithms used to data clustering, including particle swarm optimization, ant colony optimization, grey wolf optimizer, salp swarm algorithm, multi-verse optimizer, Harris hawks optimization, beta-hill climbing optimization. The book also covers applications of evolutionary data clustering in diverse fields such as image segmentation, medical applications, and pavement infrastructure asset management.

Author : Ashish Ghosh
Publisher : Springer Science & Business Media
ISBN 13 : 3540774661
Total Pages : 169 pages
Book Rating : 4.62/5 ( download)

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Download or read book Multi-Objective Evolutionary Algorithms for Knowledge Discovery from Databases written by Ashish Ghosh and published by Springer Science & Business Media. This book was released on 2008-03-19 with total page 169 pages. Available in PDF, EPUB and Kindle. Book excerpt: The present volume provides a collection of seven articles containing new and high quality research results demonstrating the significance of Multi-objective Evolutionary Algorithms (MOEA) for data mining tasks in Knowledge Discovery from Databases (KDD). These articles are written by leading experts around the world. It is shown how the different MOEAs can be utilized, both in individual and integrated manner, in various ways to efficiently mine data from large databases.

Author : Carlos Coello Coello
Publisher : Springer
ISBN 13 : 3540318801
Total Pages : 927 pages
Book Rating : 4.04/5 ( download)

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Download or read book Evolutionary Multi-Criterion Optimization written by Carlos Coello Coello and published by Springer. This book was released on 2005-01-28 with total page 927 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the Third International Conference on Evolutionary Multi-Criterion Optimization, EMO 2005, held in Guanajuato, Mexico, in March 2005. The 59 revised full papers presented together with 2 invited papers and the summary of a tutorial were carefully reviewed and selected from the 115 papers submitted. The papers are organized in topical sections on algorithm improvements, incorporation of preferences, performance analysis and comparison, uncertainty and noise, alternative methods, and applications in a broad variety of fields.

Author : Carlos A. Coello Coello
Publisher : World Scientific
ISBN 13 : 9812561064
Total Pages : 792 pages
Book Rating : 4.60/5 ( download)

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Download or read book Applications of Multi-objective Evolutionary Algorithms written by Carlos A. Coello Coello and published by World Scientific. This book was released on 2004 with total page 792 pages. Available in PDF, EPUB and Kindle. Book excerpt: - Detailed MOEA applications discussed by international experts - State-of-the-art practical insights in tackling statistical optimization with MOEAs - A unique monograph covering a wide spectrum of real-world applications - Step-by-step discussion of MOEA applications in a variety of domains

Author : Yuan Wang
Publisher :
ISBN 13 :
Total Pages : pages
Book Rating : 4.82/5 ( download)

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Download or read book Circuit Clustering for Cluster-based FPGAs Using Novel Multiobjective Genetic Algorithms written by Yuan Wang and published by . This book was released on 2015 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Author : Rudolf F. Albrecht
Publisher : Springer Science & Business Media
ISBN 13 : 370917533X
Total Pages : 752 pages
Book Rating : 4.30/5 ( download)

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Download or read book Artificial Neural Nets and Genetic Algorithms written by Rudolf F. Albrecht and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 752 pages. Available in PDF, EPUB and Kindle. Book excerpt: Artificial neural networks and genetic algorithms both are areas of research which have their origins in mathematical models constructed in order to gain understanding of important natural processes. By focussing on the process models rather than the processes themselves, significant new computational techniques have evolved which have found application in a large number of diverse fields. This diversity is reflected in the topics which are the subjects of contributions to this volume. There are contributions reporting theoretical developments in the design of neural networks, and in the management of their learning. In a number of contributions, applications to speech recognition tasks, control of industrial processes as well as to credit scoring, and so on, are reflected. Regarding genetic algorithms, several methodological papers consider how genetic algorithms can be improved using an experimental approach, as well as by hybridizing with other useful techniques such as tabu search. The closely related area of classifier systems also receives a significant amount of coverage, aiming at better ways for their implementation. Further, while there are many contributions which explore ways in which genetic algorithms can be applied to real problems, nearly all involve some understanding of the context in order to apply the genetic algorithm paradigm more successfully. That this can indeed be done is evidenced by the range of applications covered in this volume.

Author : Emanuel Falkenauer
Publisher : John Wiley & Sons
ISBN 13 :
Total Pages : 248 pages
Book Rating : 4.56/5 ( download)

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Download or read book Genetic Algorithms and Grouping Problems written by Emanuel Falkenauer and published by John Wiley & Sons. This book was released on 1998-04-22 with total page 248 pages. Available in PDF, EPUB and Kindle. Book excerpt: A reader-friendly introduction to the exciting, vast potential of Genetic Algorithms. The book gives readers a general understanding of the concepts underlying the technology, an insight into its perceived benefits and failings, and a clear and practical illustration of how optimization problems can be solved more efficiently using Falkenauer's new class of algorithms.

Author : Xin Yao
Publisher : Springer Science & Business Media
ISBN 13 : 3540230920
Total Pages : 1204 pages
Book Rating : 4.22/5 ( download)

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Download or read book Parallel Problem Solving from Nature - PPSN VIII written by Xin Yao and published by Springer Science & Business Media. This book was released on 2004-09-13 with total page 1204 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 8th International Conference on Parallel Problem Solving from Nature, PPSN 2004, held in Birmingham, UK, in September 2004. The 119 revised full papers presented were carefully reviewed and selected from 358 submissions. The papers address all current issues in biologically inspired computing; they are organized in topical sections on theoretical and foundational issues, new algorithms, applications, multi-objective optimization, co-evolution, robotics and multi-agent systems, and learning classifier systems and data mining.