Proceedings of the 2000 Congress on Evolutionary Computation

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Publisher :
ISBN 13 :
Total Pages : 802 pages
Book Rating : 4.:/5 (318 download)

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Book Synopsis Proceedings of the 2000 Congress on Evolutionary Computation by :

Download or read book Proceedings of the 2000 Congress on Evolutionary Computation written by and published by . This book was released on 2000 with total page 802 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Data Mining and Knowledge Discovery with Evolutionary Algorithms

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Publisher : Springer Science & Business Media
ISBN 13 : 3662049236
Total Pages : 272 pages
Book Rating : 4.6/5 (62 download)

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Book Synopsis Data Mining and Knowledge Discovery with Evolutionary Algorithms by : Alex A. Freitas

Download or read book Data Mining and Knowledge Discovery with Evolutionary Algorithms written by Alex A. Freitas and published by Springer Science & Business Media. This book was released on 2013-11-11 with total page 272 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book integrates two areas of computer science, namely data mining and evolutionary algorithms. Both these areas have become increasingly popular in the last few years, and their integration is currently an active research area. In general, data mining consists of extracting knowledge from data. The motivation for applying evolutionary algorithms to data mining is that evolutionary algorithms are robust search methods which perform a global search in the space of candidate solutions. This book emphasizes the importance of discovering comprehensible, interesting knowledge, which is potentially useful for intelligent decision making. The text explains both basic concepts and advanced topics

Multiobjective Evolutionary Algorithms and Applications

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Publisher : Springer Science & Business Media
ISBN 13 : 9781852338367
Total Pages : 314 pages
Book Rating : 4.3/5 (383 download)

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Book Synopsis Multiobjective Evolutionary Algorithms and Applications by : Kay Chen Tan

Download or read book Multiobjective Evolutionary Algorithms and Applications written by Kay Chen Tan and published by Springer Science & Business Media. This book was released on 2005-05-04 with total page 314 pages. Available in PDF, EPUB and Kindle. Book excerpt: Evolutionary multiobjective optimization is currently gaining a lot of attention, particularly for researchers in the evolutionary computation communities. Covers the authors’ recent research in the area of multiobjective evolutionary algorithms as well as its practical applications.

Computational Intelligence: Research Frontiers

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Publisher : Springer
ISBN 13 : 3540688609
Total Pages : 392 pages
Book Rating : 4.5/5 (46 download)

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Book Synopsis Computational Intelligence: Research Frontiers by : Jacek M. Zurada

Download or read book Computational Intelligence: Research Frontiers written by Jacek M. Zurada and published by Springer. This book was released on 2008-05-30 with total page 392 pages. Available in PDF, EPUB and Kindle. Book excerpt: The 2008 IEEE World Congress on Computational Intelligence (WCCI 2008), held during June 1–6, 2008 in Hong Kong, China, marked an important milestone in advancing the paradigms of the new fields of computational intelligence. As the fifth event in the series that has spanned the globe (Orlando-1994, Anchorage-1998, Honolulu-2002, Vancouver-2006), the congress offered renewed and refreshing focus on the progress in nature-inspired and linguistically motivated computation. Most of the congress’s program featured regular and special technical sessions that provided participants with new insights into the most recent developments in the field. As a tradition, in addition to the parallel technical sessions, WCCI holds a series of plenary and invited lectures which are not included in the congress proceedings. As its predecessors, at WCCI 2008, 20 expert speakers shared their expertise on broader, if not panoramic, topics spanning a diverse spectrum of computational intelligence in the areas of neurocomputing, fuzzy systems, evolutionary computation, and adjacent areas. Thanks to their time and expertise, we endeavored to offer this volume to attendees directly at the congress and the general public afterwards.

Reconfigurable Computing

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Publisher : Elsevier
ISBN 13 : 9780080556017
Total Pages : 944 pages
Book Rating : 4.5/5 (56 download)

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Book Synopsis Reconfigurable Computing by : Scott Hauck

Download or read book Reconfigurable Computing written by Scott Hauck and published by Elsevier. This book was released on 2010-07-26 with total page 944 pages. Available in PDF, EPUB and Kindle. Book excerpt: Reconfigurable Computing marks a revolutionary and hot topic that bridges the gap between the separate worlds of hardware and software design— the key feature of reconfigurable computing is its groundbreaking ability to perform computations in hardware to increase performance while retaining the flexibility of a software solution. Reconfigurable computers serve as affordable, fast, and accurate tools for developing designs ranging from single chip architectures to multi-chip and embedded systems. Scott Hauck and Andre DeHon have assembled a group of the key experts in the fields of both hardware and software computing to provide an introduction to the entire range of issues relating to reconfigurable computing. FPGAs (field programmable gate arrays) act as the “computing vehicles to implement this powerful technology. Readers will be guided into adopting a completely new way of handling existing design concerns and be able to make use of the vast opportunities possible with reconfigurable logic in this rapidly evolving field. Designed for both hardware and software programmers Views of reconfigurable programming beyond standard programming languages Broad set of case studies demonstrating how to use FPGAs in novel and efficient ways

Principal Concepts in Applied Evolutionary Computation: Emerging Trends

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Publisher : IGI Global
ISBN 13 : 1466617500
Total Pages : 400 pages
Book Rating : 4.4/5 (666 download)

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Book Synopsis Principal Concepts in Applied Evolutionary Computation: Emerging Trends by : Hong, Wei-Chiang Samuelson

Download or read book Principal Concepts in Applied Evolutionary Computation: Emerging Trends written by Hong, Wei-Chiang Samuelson and published by IGI Global. This book was released on 2012-06-30 with total page 400 pages. Available in PDF, EPUB and Kindle. Book excerpt: Increasingly powerful and diverse computing technologies have the potential to tackle ever greater and more complex problems and dilemmas in engineering and science disciplines. Principal Concepts in Applied Evolutionary Computation: Emerging Trends provides an introduction to the important interdisciplinary discipline of evolutionary computation, an artificial intelligence field that combines the principles of computational intelligence with the mechanisms of the theory of evolution. Academics and practicing field professionals will find this reference useful as they break into the emerging and complex world of evolutionary computation, learning to harness and utilize this exciting new interdisciplinary field.

Parameter Setting in Evolutionary Algorithms

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Publisher : Springer Science & Business Media
ISBN 13 : 3540694315
Total Pages : 323 pages
Book Rating : 4.5/5 (46 download)

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Book Synopsis Parameter Setting in Evolutionary Algorithms by : F.J. Lobo

Download or read book Parameter Setting in Evolutionary Algorithms written by F.J. Lobo and published by Springer Science & Business Media. This book was released on 2007-03-16 with total page 323 pages. Available in PDF, EPUB and Kindle. Book excerpt: One of the main difficulties of applying an evolutionary algorithm (or, as a matter of fact, any heuristic method) to a given problem is to decide on an appropriate set of parameter values. Typically these are specified before the algorithm is run and include population size, selection rate, operator probabilities, not to mention the representation and the operators themselves. This book gives the reader a solid perspective on the different approaches that have been proposed to automate control of these parameters as well as understanding their interactions. The book covers a broad area of evolutionary computation, including genetic algorithms, evolution strategies, genetic programming, estimation of distribution algorithms, and also discusses the issues of specific parameters used in parallel implementations, multi-objective evolutionary algorithms, and practical consideration for real-world applications. It is a recommended read for researchers and practitioners of evolutionary computation and heuristic methods.

New Achievements in Evolutionary Computation

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Publisher : BoD – Books on Demand
ISBN 13 : 9533070536
Total Pages : 330 pages
Book Rating : 4.5/5 (33 download)

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Book Synopsis New Achievements in Evolutionary Computation by : Peter Korosec

Download or read book New Achievements in Evolutionary Computation written by Peter Korosec and published by BoD – Books on Demand. This book was released on 2010-02-01 with total page 330 pages. Available in PDF, EPUB and Kindle. Book excerpt: Evolutionary computation has been widely used in computer science for decades. Even though it started as far back as the 1960s with simulated evolution, the subject is still evolving. During this time, new metaheuristic optimization approaches, like evolutionary algorithms, genetic algorithms, swarm intelligence, etc., were being developed and new fields of usage in artificial intelligence, machine learning, combinatorial and numerical optimization, etc., were being explored. However, even with so much work done, novel research into new techniques and new areas of usage is far from over. This book presents some new theoretical as well as practical aspects of evolutionary computation. This book will be of great value to undergraduates, graduate students, researchers in computer science, and anyone else with an interest in learning about the latest developments in evolutionary computation.

Gecco 2000

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Publisher : Morgan Kaufmann
ISBN 13 : 9781558606951
Total Pages : pages
Book Rating : 4.6/5 (69 download)

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Book Synopsis Gecco 2000 by : Elsevier Science & Technology Books

Download or read book Gecco 2000 written by Elsevier Science & Technology Books and published by Morgan Kaufmann. This book was released on 2000-06-01 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Evolutionary Computation in Dynamic and Uncertain Environments

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Publisher : Springer Science & Business Media
ISBN 13 : 3540497722
Total Pages : 614 pages
Book Rating : 4.5/5 (44 download)

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Book Synopsis Evolutionary Computation in Dynamic and Uncertain Environments by : Shengxiang Yang

Download or read book Evolutionary Computation in Dynamic and Uncertain Environments written by Shengxiang Yang and published by Springer Science & Business Media. This book was released on 2007-03-07 with total page 614 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book compiles recent advances of evolutionary algorithms in dynamic and uncertain environments within a unified framework. The book is motivated by the fact that some degree of uncertainty is inevitable in characterizing any realistic engineering systems. Discussion includes representative methods for addressing major sources of uncertainties in evolutionary computation, including handle of noisy fitness functions, use of approximate fitness functions, search for robust solutions, and tracking moving optimums.

Recent Advances in Evolutionary Multi-objective Optimization

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Publisher : Springer
ISBN 13 : 3319429787
Total Pages : 179 pages
Book Rating : 4.3/5 (194 download)

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Book Synopsis Recent Advances in Evolutionary Multi-objective Optimization by : Slim Bechikh

Download or read book Recent Advances in Evolutionary Multi-objective Optimization written by Slim Bechikh and published by Springer. This book was released on 2016-08-09 with total page 179 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book covers the most recent advances in the field of evolutionary multiobjective optimization. With the aim of drawing the attention of up-and coming scientists towards exciting prospects at the forefront of computational intelligence, the authors have made an effort to ensure that the ideas conveyed herein are accessible to the widest audience. The book begins with a summary of the basic concepts in multi-objective optimization. This is followed by brief discussions on various algorithms that have been proposed over the years for solving such problems, ranging from classical (mathematical) approaches to sophisticated evolutionary ones that are capable of seamlessly tackling practical challenges such as non-convexity, multi-modality, the presence of multiple constraints, etc. Thereafter, some of the key emerging aspects that are likely to shape future research directions in the field are presented. These include: optimization in dynamic environments, multi-objective bilevel programming, handling high dimensionality under many objectives, and evolutionary multitasking. In addition to theory and methodology, this book describes several real-world applications from various domains, which will expose the readers to the versatility of evolutionary multi-objective optimization.

Multi-Objective Evolutionary Algorithms for Knowledge Discovery from Databases

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Publisher : Springer Science & Business Media
ISBN 13 : 3540774661
Total Pages : 169 pages
Book Rating : 4.5/5 (47 download)

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Book Synopsis Multi-Objective Evolutionary Algorithms for Knowledge Discovery from Databases by : Ashish Ghosh

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.

Representations for Genetic and Evolutionary Algorithms

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Publisher : Physica
ISBN 13 : 3642880940
Total Pages : 295 pages
Book Rating : 4.6/5 (428 download)

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Book Synopsis Representations for Genetic and Evolutionary Algorithms by : Franz Rothlauf

Download or read book Representations for Genetic and Evolutionary Algorithms written by Franz Rothlauf and published by Physica. This book was released on 2012-12-06 with total page 295 pages. Available in PDF, EPUB and Kindle. Book excerpt: In the field of genetic and evolutionary algorithms (GEAs), much theory and empirical study has been heaped upon operators and test problems, but problem representation has often been taken as given. This monograph breaks with this tradition and studies a number of critical elements of a theory of representations for GEAs and applies them to the empirical study of various important idealized test functions and problems of commercial import. The book considers basic concepts of representations, such as redundancy, scaling and locality and describes how GEAs'performance is influenced. Using the developed theory representations can be analyzed and designed in a theory-guided manner. The theoretical concepts are used as examples for efficiently solving integer optimization problems and network design problems. The results show that proper representations are crucial for GEAs'success.

Spatially Structured Evolutionary Algorithms

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Publisher : Springer Science & Business Media
ISBN 13 : 3540299386
Total Pages : 193 pages
Book Rating : 4.5/5 (42 download)

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Book Synopsis Spatially Structured Evolutionary Algorithms by : Marco Tomassini

Download or read book Spatially Structured Evolutionary Algorithms written by Marco Tomassini and published by Springer Science & Business Media. This book was released on 2006-01-27 with total page 193 pages. Available in PDF, EPUB and Kindle. Book excerpt: Evolutionary algorithms (EAs) is now a mature problem-solving family of heuristics that has found its way into many important real-life problems and into leading-edge scientific research. Spatially structured EAs have different properties than standard, mixing EAs. By virtue of the structured disposition of the population members they bring about new dynamical features that can be harnessed to solve difficult problems faster and more efficiently. This book describes the state of the art in spatially structured EAs by using graph concepts as a unifying theme. The models, their analysis, and their empirical behavior are presented in detail. Moreover, there is new material on non-standard networked population structures such as small-world networks. The book should be of interest to advanced undergraduate and graduate students working in evolutionary computation, machine learning, and optimization. It should also be useful to researchers and professionals working in fields where the topological structures of populations and their evolution plays a role.

How to Solve It: Modern Heuristics

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Publisher : Springer Science & Business Media
ISBN 13 : 3662078074
Total Pages : 560 pages
Book Rating : 4.6/5 (62 download)

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Book Synopsis How to Solve It: Modern Heuristics by : Zbigniew Michalewicz

Download or read book How to Solve It: Modern Heuristics written by Zbigniew Michalewicz and published by Springer Science & Business Media. This book was released on 2013-03-14 with total page 560 pages. Available in PDF, EPUB and Kindle. Book excerpt: No pleasure lasts long unless there is variety in it. Publilius Syrus, Moral Sayings We've been very fortunate to receive fantastic feedback from our readers during the last four years, since the first edition of How to Solve It: Modern Heuristics was published in 1999. It's heartening to know that so many people appreciated the book and, even more importantly, were using the book to help them solve their problems. One professor, who published a review of the book, said that his students had given the best course reviews he'd seen in 15 years when using our text. There can be hardly any better praise, except to add that one of the book reviews published in a SIAM journal received the best review award as well. We greatly appreciate your kind words and personal comments that you sent, including the few cases where you found some typographical or other errors. Thank you all for this wonderful support.

Nature-Inspired Computing: Concepts, Methodologies, Tools, and Applications

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Publisher : IGI Global
ISBN 13 : 1522507892
Total Pages : 1780 pages
Book Rating : 4.5/5 (225 download)

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Book Synopsis Nature-Inspired Computing: Concepts, Methodologies, Tools, and Applications by : Management Association, Information Resources

Download or read book Nature-Inspired Computing: Concepts, Methodologies, Tools, and Applications written by Management Association, Information Resources and published by IGI Global. This book was released on 2016-07-26 with total page 1780 pages. Available in PDF, EPUB and Kindle. Book excerpt: As technology continues to become more sophisticated, mimicking natural processes and phenomena also becomes more of a reality. Continued research in the field of natural computing enables an understanding of the world around us, in addition to opportunities for man-made computing to mirror the natural processes and systems that have existed for centuries. Nature-Inspired Computing: Concepts, Methodologies, Tools, and Applications takes an interdisciplinary approach to the topic of natural computing, including emerging technologies being developed for the purpose of simulating natural phenomena, applications across industries, and the future outlook of biologically and nature-inspired technologies. Emphasizing critical research in a comprehensive multi-volume set, this publication is designed for use by IT professionals, researchers, and graduate students studying intelligent computing.

Evolutionary Algorithms

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Publisher : John Wiley & Sons
ISBN 13 : 1119136385
Total Pages : 256 pages
Book Rating : 4.1/5 (191 download)

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Book Synopsis Evolutionary Algorithms by : Alain Petrowski

Download or read book Evolutionary Algorithms written by Alain Petrowski and published by John Wiley & Sons. This book was released on 2017-04-12 with total page 256 pages. Available in PDF, EPUB and Kindle. Book excerpt: Evolutionary algorithms are bio-inspired algorithms based on Darwin’s theory of evolution. They are expected to provide non-optimal but good quality solutions to problems whose resolution is impracticable by exact methods. In six chapters, this book presents the essential knowledge required to efficiently implement evolutionary algorithms. Chapter 1 describes a generic evolutionary algorithm as well as the basic operators that compose it. Chapter 2 is devoted to the solving of continuous optimization problems, without constraint. Three leading approaches are described and compared on a set of test functions. Chapter 3 considers continuous optimization problems with constraints. Various approaches suitable for evolutionary methods are presented. Chapter 4 is related to combinatorial optimization. It provides a catalog of variation operators to deal with order-based problems. Chapter 5 introduces the basic notions required to understand the issue of multi-objective optimization and a variety of approaches for its application. Finally, Chapter 6 describes different approaches of genetic programming able to evolve computer programs in the context of machine learning.