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Multi-Objective Swarm Intelligent Systems: Theory & Experiences

Posted By: AvaxGenius
Date: 14 Aug 2023 02:44:32
Multi-Objective Swarm Intelligent Systems: Theory & Experiences

Multi-Objective Swarm Intelligent Systems: Theory & Experiences by Nadia Nedjah, Leandro Santos Coelho, Luiza Macedo Mourelle
English | PDF | 2010 | 228 Pages | ISBN : 3642051642 | 5.3 MB

The editors of this volume, Nadia Nedjah, Leandro dos Santos Coelho and Luiza de Macedo Mourelle, have done a superb job of assembling some of the most innovative and intriguing applications and additions to the methodology and theory of multi-objective swarm intelligence — the immitation of social swarms behaviors for the solution of optimization problems with respect to many criteria.
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Advanced Techniques in Knowledge Discovery and Data Mining

Posted By: AvaxGenius
Date: 12 Aug 2023 22:03:20
Advanced Techniques in Knowledge Discovery and Data Mining

Advanced Techniques in Knowledge Discovery and Data Mining by Nikhil R. Pal, Lakhmi Jain
English | PDF | 2005 | 264 Pages | ISBN : 1852338679 | 6.4 MB

Data mining and knowledge discovery (DMKD) is a rapidly expanding field in computer science. It has become very important because of an increased demand for methodologies and tools that can help the analysis and understanding of huge amounts of data generated on a daily basis by institutions like hospitals, research laboratories, banks, insurance companies, and retail stores and by Internet users.
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Hybrid Evolutionary Algorithms

Posted By: AvaxGenius
Date: 21 Mar 2023 12:11:17
Hybrid Evolutionary Algorithms

Hybrid Evolutionary Algorithms by Ajith Abraham, Crina Grosan, Hisao Ishibuchi
English | PDF (True) | 2007 | 410 Pages | ISBN : 3540732969 | 19.2 MB

Hybridization of evolutionary algorithms is getting popular due to their capabilities in handling several real world problems involving complexity, noisy environment, imprecision, uncertainty and vagueness. This edited volume is targeted to present the latest state-of-the-art methodologies in “Hybrid Evolutionary Algorithms”. This book deals with the theoretical and methodological aspects, as well as various applications to many real world problems from science, technology, business or commerce. This volume comprises of 14 chapters including an introductory chapter giving the fundamental definitions and some important research challenges. Chapters were selected on the basis of fundamental ideas/concepts rather than the thoroughness of techniques deployed.
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Advances in Evolutionary Computing: Theory and Applications (Repost)

Posted By: AvaxGenius
Date: 15 Aug 2022 21:42:49
Advances in Evolutionary Computing: Theory and Applications (Repost)

Advances in Evolutionary Computing: Theory and Applications by Ashish Ghosh
English | PDF | 2003 | 1001 Pages | ISBN : 3540433309 | 101.59 MB

The term evolutionary computing (EC) refers to the study of the foundations and applications of certain heuristic techniques based on the principles of natural evolution, and thus the aim when designing evolutionary algorithms (EAs) is to mimic some of the processes taking place in natural evolution.
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Advances in Multi-Objective Nature Inspired Computing (Repost)

Posted By: AvaxGenius
Date: 23 Apr 2022 04:02:22
Advances in Multi-Objective Nature Inspired Computing (Repost)

Advances in Multi-Objective Nature Inspired Computing by Carlos A. Coello Coello
English | PDF | 2010 | 204 Pages | ISBN : 364211217X | 19.8 MB

The purpose of this book is to collect contributions that deal with the use of nature inspired metaheuristics for solving multi-objective combinatorial optimization problems. Such a collection intends to provide an overview of the state-of-the-art developments in this field, with the aim of motivating more researchers in operations research, engineering, and computer science, to do research in this area. As such, this book is expected to become a valuable reference for those wishing to do research on the use of nature inspired metaheuristics for solving multi-objective combinatorial optimization problems.
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Multiobjective Optimization: Interactive and Evolutionary Approaches

Posted By: AvaxGenius
Date: 7 Mar 2022 05:19:22
Multiobjective Optimization: Interactive and Evolutionary Approaches

Multiobjective Optimization: Interactive and Evolutionary Approaches by Jürgen Branke
English | PDF | 2008 | 481 Pages | ISBN : 3540889078 | 5.2 MB

Multiobjective optimization deals with solving problems having not only one, but multiple, often conflicting, criteria. Such problems can arise in practically every field of science, engineering and business, and the need for efficient and reliable solution methods is increasing.
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Soft Computing: Integrating Evolutionary, Neural, and Fuzzy Systems

Posted By: AvaxGenius
Date: 31 Dec 2021 21:08:32
Soft Computing: Integrating Evolutionary, Neural, and Fuzzy Systems

Soft Computing: Integrating Evolutionary, Neural, and Fuzzy Systems by Andrea Tettamanzi
English | PDF | 2001 | 334 Pages | ISBN : 3540422048 | 8.9 MB

Soft computing encompasses various computational methodologies, which, unlike conventional algorithms, are tolerant of imprecision, uncertainty, and partial truth. Soft computing technologies offer adaptability as a characteristic feature and thus permit the tracking of a problem through a changing environment. Besides some recent developments in areas like rough sets and probabilistic networks, fuzzy logic, evolutionary algorithms, and artificial neural networks are core ingredients of soft computing, which are all bio-inspired and can easily be combined synergetically.
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Computational Intelligence: Collaboration, Fusion and Emergence (Repost)

Posted By: AvaxGenius
Date: 22 Nov 2020 23:34:41
Computational Intelligence: Collaboration, Fusion and Emergence (Repost)

Computational Intelligence: Collaboration, Fusion and Emergence by Christine L. Mumford
English | PDF | 2009 | 723 Pages | ISBN : 3642017983 | 13.54 MB

This book is the first in a new series entitled "Intelligent Systems Reference Library". It is a collection of chapters written by leading experts, covering a rich and diverse variety of computer-based techniques, all involving some aspect of computational intelligence (CI). Authors in this collection recognize the limitations of individual paradigms, and propose some practical and novel ways in which different CI techniques can be combined with each other, or with more traditional computational techniques, to produce powerful problem-solving environments.
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Evolutionary Algorithms: The Role of Mutation and Recombination

Posted By: AvaxGenius
Date: 15 Nov 2020 21:57:43
Evolutionary Algorithms: The Role of Mutation and Recombination

Evolutionary Algorithms: The Role of Mutation and Recombination by William M. Spears
English | PDF | 2000 | 224 Pages | ISBN : 3642086241 | 51.9 MB

Despite decades of work in evolutionary algorithms, there remains a lot of uncertainty as to when it is beneficial or detrimental to use recombination or mutation. This book provides a characterization of the roles that recombination and mutation play in evolutionary algorithms. It integrates prior theoretical work and introduces new theoretical techniques for studying evolutionary algorithms.
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Introduction to Evolutionary Computing

Posted By: AvaxGenius
Date: 15 Nov 2020 21:45:18
Introduction to Evolutionary Computing

Introduction to Evolutionary Computing by A. E. Eiben
English | PDF | 2003 | 307 Pages | ISBN : 3642072852 | 28.1 MB

Evolutionary Computing is the collective name for a range of problem-solving techniques based on principles of biological evolution, such as natural selection and genetic inheritance. These techniques are being increasingly widely applied to a variety of problems, ranging from practical applications in industry and commerce to leading-edge scientific research.
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Evolutionary Algorithms for VLSI CAD

Posted By: AvaxGenius
Date: 19 Jul 2020 16:10:30
Evolutionary Algorithms for VLSI CAD

Evolutionary Algorithms for VLSI CAD by Rolf Drechsler
English | PDF | 1998 | 184 Pages | ISBN : 0792381688 | 12.95 MB

In VLSI CAD, difficult optimization problems have to be solved on a constant basis. Various optimization techniques have been proposed in the past. While some of these methods have been shown to work well in applications and have become somewhat established over the years, other techniques have been ignored.
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Evolutionary Algorithms and Chaotic Systems

Posted By: AvaxGenius
Date: 31 May 2020 16:06:07
Evolutionary Algorithms and Chaotic Systems

Evolutionary Algorithms and Chaotic Systems by Ivan Zelinka
English | PDF | 2010 | 533 Pages | ISBN : 3642107060 | 39.89 MB

This book discusses the mutual intersection of two interesting fields of research, i.e. deterministic chaos and evolutionary computation. Evolutionary computation which are able to handle tasks such as control of various chaotic systems and synthesis of their structure are explored, while deterministic chaos is investigated as a behavioral part of evolutionary algorithms.
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Advances in Evolutionary Computing: Theory and Applications

Posted By: AvaxGenius
Date: 21 Mar 2020 22:58:49
Advances in Evolutionary Computing: Theory and Applications

Advances in Evolutionary Computing: Theory and Applications by Ashish Ghosh
English | PDF | 2003 | 1001 Pages | ISBN : 3540433309 | 101.59 MB

The term evolutionary computing (EC) refers to the study of the foundations and applications of certain heuristic techniques based on the principles of natural evolution, and thus the aim when designing evolutionary algorithms (EAs) is to mimic some of the processes taking place in natural evolution.
Details
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