Gecco 2005

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Handbook of Approximation Algorithms and Metaheuristics

Author : Teofilo F. Gonzalez
Publisher : CRC Press
ISBN 13 : 1351236407
Total Pages : 840 pages
Book Rating : 4.3/5 (512 download)

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Book Synopsis Handbook of Approximation Algorithms and Metaheuristics by : Teofilo F. Gonzalez

Download or read book Handbook of Approximation Algorithms and Metaheuristics written by Teofilo F. Gonzalez and published by CRC Press. This book was released on 2018-05-15 with total page 840 pages. Available in PDF, EPUB and Kindle. Book excerpt: Handbook of Approximation Algorithms and Metaheuristics, Second Edition reflects the tremendous growth in the field, over the past two decades. Through contributions from leading experts, this handbook provides a comprehensive introduction to the underlying theory and methodologies, as well as the various applications of approximation algorithms and metaheuristics. Volume 1 of this two-volume set deals primarily with methodologies and traditional applications. It includes restriction, relaxation, local ratio, approximation schemes, randomization, tabu search, evolutionary computation, local search, neural networks, and other metaheuristics. It also explores multi-objective optimization, reoptimization, sensitivity analysis, and stability. Traditional applications covered include: bin packing, multi-dimensional packing, Steiner trees, traveling salesperson, scheduling, and related problems. Volume 2 focuses on the contemporary and emerging applications of methodologies to problems in combinatorial optimization, computational geometry and graphs problems, as well as in large-scale and emerging application areas. It includes approximation algorithms and heuristics for clustering, networks (sensor and wireless), communication, bioinformatics search, streams, virtual communities, and more. About the Editor Teofilo F. Gonzalez is a professor emeritus of computer science at the University of California, Santa Barbara. He completed his Ph.D. in 1975 from the University of Minnesota. He taught at the University of Oklahoma, the Pennsylvania State University, and the University of Texas at Dallas, before joining the UCSB computer science faculty in 1984. He spent sabbatical leaves at the Monterrey Institute of Technology and Higher Education and Utrecht University. He is known for his highly cited pioneering research in the hardness of approximation; for his sublinear and best possible approximation algorithm for k-tMM clustering; for introducing the open-shop scheduling problem as well as algorithms for its solution that have found applications in numerous research areas; as well as for his research on problems in the areas of job scheduling, graph algorithms, computational geometry, message communication, wire routing, etc.

Genetic and Evolutionary Computation--GECCO ...

Author :
Publisher :
ISBN 13 :
Total Pages : 1516 pages
Book Rating : 4.3/5 (91 download)

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Book Synopsis Genetic and Evolutionary Computation--GECCO ... by :

Download or read book Genetic and Evolutionary Computation--GECCO ... written by and published by . This book was released on 2003 with total page 1516 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Learning Classifier Systems

Author : Jaume Bacardit
Publisher : Springer
ISBN 13 : 3540881387
Total Pages : 316 pages
Book Rating : 4.5/5 (48 download)

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Book Synopsis Learning Classifier Systems by : Jaume Bacardit

Download or read book Learning Classifier Systems written by Jaume Bacardit and published by Springer. This book was released on 2008-10-17 with total page 316 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the thoroughly refereed joint post-conference proceedings of two consecutive International Workshops on Learning Classifier Systems that took place in Seattle, WA, USA in July 2006, and in London, UK, in July 2007 - all hosted by the Genetic and Evolutionary Computation Conference, GECCO. The 14 revised full papers presented were carefully reviewed and selected from the workshop contributions. The papers are organized in topical sections on knowledge representation, analysis of the system, mechanisms, new directions, as well as applications.

Constraint-Handling in Evolutionary Optimization

Author : Efrén Mezura-Montes
Publisher : Springer
ISBN 13 : 3642006191
Total Pages : 273 pages
Book Rating : 4.6/5 (42 download)

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Book Synopsis Constraint-Handling in Evolutionary Optimization by : Efrén Mezura-Montes

Download or read book Constraint-Handling in Evolutionary Optimization written by Efrén Mezura-Montes and published by Springer. This book was released on 2009-05-03 with total page 273 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is the result of a special session on constraint-handling techniques used in evolutionary algorithms within the Congress on Evolutionary Computation (CEC) in 2007. It presents recent research in constraint-handling in evolutionary optimization.

Genetic Programming

Author : Alberto Moraglio
Publisher : Springer
ISBN 13 : 3642291392
Total Pages : 290 pages
Book Rating : 4.6/5 (422 download)

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Book Synopsis Genetic Programming by : Alberto Moraglio

Download or read book Genetic Programming written by Alberto Moraglio and published by Springer. This book was released on 2012-03-23 with total page 290 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 15th European Conference on Genetic Programming, EuroGP 2012, held in Málaga, Spain, in April 2012 co-located with the Evo* 2012 events. The 18 revised full papers presented together with 5 poster papers were carefully reviewed and selected from 46 submissions. The wide range of topics in this volume reflects the current state of research in the field, including different genres of GP (tree-based, grammar-based, Cartesian), theory, novel operators, and applications.

Parallel Problem Solving from Nature - PPSN X

Author : Günter Rudolph
Publisher : Springer Science & Business Media
ISBN 13 : 3540876995
Total Pages : 1183 pages
Book Rating : 4.5/5 (48 download)

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Book Synopsis Parallel Problem Solving from Nature - PPSN X by : Günter Rudolph

Download or read book Parallel Problem Solving from Nature - PPSN X written by Günter Rudolph and published by Springer Science & Business Media. This book was released on 2008-09-10 with total page 1183 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 10th International Conference on Parallel Problem Solving from Nature, PPSN 2008, held in Dortmund, Germany, in September 2008. The 114 revised full papers presented were carefully reviewed and selected from 206 submissions. The conference covers a wide range of topics, such as evolutionary computation, quantum computation, molecular computation, neural computation, artificial life, swarm intelligence, artificial ant systems, artificial immune systems, self-organizing systems, emergent behaviors, and applications to real-world problems. The paper are organized in topical sections on formal theory, new techniques, experimental analysis, multiobjective optimization, hybrid methods, and applications.

Genetic Programming

Author : Leonardo Vanneschi
Publisher : Springer
ISBN 13 : 3642011810
Total Pages : 374 pages
Book Rating : 4.6/5 (42 download)

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Book Synopsis Genetic Programming by : Leonardo Vanneschi

Download or read book Genetic Programming written by Leonardo Vanneschi and published by Springer. This book was released on 2009-04-10 with total page 374 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 11th European Conference on Genetic Programming, EuroGP 2009, held in Tübingen, Germany, in April 2009 colocated with the Evo* 2009 events. The 21 revised plenary papers and 9 revised poster papers were carefully reviewed and selected from a total of 57 submissions. A great variety of topics are presented reflecting the current state of research in the field of genetic programming, including the latest work on representations, theory, operators and analysis, feature selection, generalisation, coevolution and numerous applications.

Intelligent Data Engineering and Automated Learning -- IDEAL 2014

Author : Emilio Corchado
Publisher : Springer
ISBN 13 : 3319108409
Total Pages : 524 pages
Book Rating : 4.3/5 (191 download)

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Book Synopsis Intelligent Data Engineering and Automated Learning -- IDEAL 2014 by : Emilio Corchado

Download or read book Intelligent Data Engineering and Automated Learning -- IDEAL 2014 written by Emilio Corchado and published by Springer. This book was released on 2014-08-13 with total page 524 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 15th International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2014, held in Salamanca, Spain, in September 2014. The 60 revised full papers presented were carefully reviewed and selected from about 120 submissions. These papers provided a valuable collection of recent research outcomes in data engineering and automated learning, from methodologies, frameworks, and techniques to applications. In addition the conference provided a good sample of current topics from methodologies, frameworks, and techniques to applications and case studies. The techniques include computational intelligence, big data analytics, social media techniques, multi-objective optimization, regression, classification, clustering, biological data processing, text processing, and image/video analysis.

Metaheuristics for Dynamic Optimization

Author : Enrique Alba
Publisher : Springer
ISBN 13 : 3642306659
Total Pages : 417 pages
Book Rating : 4.6/5 (423 download)

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Book Synopsis Metaheuristics for Dynamic Optimization by : Enrique Alba

Download or read book Metaheuristics for Dynamic Optimization written by Enrique Alba and published by Springer. This book was released on 2012-08-11 with total page 417 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is an updated effort in summarizing the trending topics and new hot research lines in solving dynamic problems using metaheuristics. An analysis of the present state in solving complex problems quickly draws a clear picture: problems that change in time, having noise and uncertainties in their definition are becoming very important. The tools to face these problems are still to be built, since existing techniques are either slow or inefficient in tracking the many global optima that those problems are presenting to the solver technique. Thus, this book is devoted to include several of the most important advances in solving dynamic problems. Metaheuristics are the more popular tools to this end, and then we can find in the book how to best use genetic algorithms, particle swarm, ant colonies, immune systems, variable neighborhood search, and many other bioinspired techniques. Also, neural network solutions are considered in this book. Both, theory and practice have been addressed in the chapters of the book. Mathematical background and methodological tools in solving this new class of problems and applications are included. From the applications point of view, not just academic benchmarks are dealt with, but also real world applications in logistics and bioinformatics are discussed here. The book then covers theory and practice, as well as discrete versus continuous dynamic optimization, in the aim of creating a fresh and comprehensive volume. This book is targeted to either beginners and experienced practitioners in dynamic optimization, since we took care of devising the chapters in a way that a wide audience could profit from its contents. We hope to offer a single source for up-to-date information in dynamic optimization, an inspiring and attractive new research domain that appeared in these last years and is here to stay.

Parallel Problem Solving from Nature - PPSN IX

Author : Thomas Philip Runarsson
Publisher : Springer Science & Business Media
ISBN 13 : 3540389903
Total Pages : 1079 pages
Book Rating : 4.5/5 (43 download)

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Book Synopsis Parallel Problem Solving from Nature - PPSN IX by : Thomas Philip Runarsson

Download or read book Parallel Problem Solving from Nature - PPSN IX written by Thomas Philip Runarsson and published by Springer Science & Business Media. This book was released on 2006-09-13 with total page 1079 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 9th International Conference on Parallel Problem Solving from Nature, PPSN 2006. The book presents 106 revised full papers covering a wide range of topics, from evolutionary computation to swarm intelligence and bio-inspired computing to real-world applications. These are organized in topical sections on theory, new algorithms, applications, multi-objective optimization, evolutionary learning, as well as representations, operators, and empirical evaluation.

Multiobjective Problem Solving from Nature

Author : Joshua Knowles
Publisher : Springer Science & Business Media
ISBN 13 : 3540729631
Total Pages : 413 pages
Book Rating : 4.5/5 (47 download)

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Book Synopsis Multiobjective Problem Solving from Nature by : Joshua Knowles

Download or read book Multiobjective Problem Solving from Nature written by Joshua Knowles and published by Springer Science & Business Media. This book was released on 2008-01-28 with total page 413 pages. Available in PDF, EPUB and Kindle. Book excerpt: This text examines how multiobjective evolutionary algorithms and related techniques can be used to solve problems, particularly in the disciplines of science and engineering. Contributions by leading researchers show how the concept of multiobjective optimization can be used to reformulate and resolve problems in areas such as constrained optimization, co-evolution, classification, inverse modeling, and design.

Convergence and Hybrid Information Technology

Author : Geuk Lee
Publisher : Springer
ISBN 13 : 3642240828
Total Pages : 807 pages
Book Rating : 4.6/5 (422 download)

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Book Synopsis Convergence and Hybrid Information Technology by : Geuk Lee

Download or read book Convergence and Hybrid Information Technology written by Geuk Lee and published by Springer. This book was released on 2011-09-22 with total page 807 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 5th International Conference on Convergence and Hybrid Information Technology, ICHIT 2011, held in Daejeon, Korea, in September 2011. The 94 revised full papers were carefully selected from 323 initial submissions. The papers are organized in topical sections on communications and networking, intelligent systems and applications, sensor network and cloud systems, information retrieval and scheduling, hardware and software engineering, security systems, robotics and RFID Systems, pattern recognition, image processing and clustering, data mining, as well as human computer interaction.

Hybrid Artificial Intelligence Systems

Author : Emilio Corchado
Publisher : Springer Science & Business Media
ISBN 13 : 3642023185
Total Pages : 736 pages
Book Rating : 4.6/5 (42 download)

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Book Synopsis Hybrid Artificial Intelligence Systems by : Emilio Corchado

Download or read book Hybrid Artificial Intelligence Systems written by Emilio Corchado and published by Springer Science & Business Media. This book was released on 2009-06-02 with total page 736 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume constitutes the refereed proceedings of the 4th International Workshop on Hybrid Artificial Intelligence Systems, HAIS 2009, held in Salamanca, Spain, in June 2009. The 85 papers presented, were carefully reviewed and selected from 206 submissions. The topics covered are agents and multi agents systems, HAIS applications, cluster analysis, data mining and knowledge discovery, evolutionary computation, learning algorithms, real world HAIS applications and data uncertainty, hybrid artificial intelligence in bioinformatics, evolutionary multiobjective machine learning, hybrid reasoning and coordination methods on multi-agent systems, methods of classifiers fusion, knowledge extraction based on evolutionary learning, hybrid systems based on bioinspired algorithms and argumentation methods, hybrid evolutionry intelligence in financial engineering.

Swarm Intelligence

Author : Felix Chan
Publisher : BoD – Books on Demand
ISBN 13 : 3902613092
Total Pages : 550 pages
Book Rating : 4.9/5 (26 download)

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Book Synopsis Swarm Intelligence by : Felix Chan

Download or read book Swarm Intelligence written by Felix Chan and published by BoD – Books on Demand. This book was released on 2007-12-01 with total page 550 pages. Available in PDF, EPUB and Kindle. Book excerpt: In the era globalisation the emerging technologies are governing engineering industries to a multifaceted state. The escalating complexity has demanded researchers to find the possible ways of easing the solution of the problems. This has motivated the researchers to grasp ideas from the nature and implant it in the engineering sciences. This way of thinking led to emergence of many biologically inspired algorithms that have proven to be efficient in handling the computationally complex problems with competence such as Genetic Algorithm (GA), Ant Colony Optimization (ACO), Particle Swarm Optimization (PSO), etc. Motivated by the capability of the biologically inspired algorithms the present book on "Swarm Intelligence: Focus on Ant and Particle Swarm Optimization" aims to present recent developments and applications concerning optimization with swarm intelligence techniques. The papers selected for this book comprise a cross-section of topics that reflect a variety of perspectives and disciplinary backgrounds. In addition to the introduction of new concepts of swarm intelligence, this book also presented some selected representative case studies covering power plant maintenance scheduling; geotechnical engineering; design and machining tolerances; layout problems; manufacturing process plan; job-shop scheduling; structural design; environmental dispatching problems; wireless communication; water distribution systems; multi-plant supply chain; fault diagnosis of airplane engines; and process scheduling. I believe these 27 chapters presented in this book adequately reflect these topics.

Genetic Programming

Author : Sebastian Ventura Soto
Publisher : BoD – Books on Demand
ISBN 13 : 9535108093
Total Pages : 302 pages
Book Rating : 4.5/5 (351 download)

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Book Synopsis Genetic Programming by : Sebastian Ventura Soto

Download or read book Genetic Programming written by Sebastian Ventura Soto and published by BoD – Books on Demand. This book was released on 2012-10-18 with total page 302 pages. Available in PDF, EPUB and Kindle. Book excerpt: Genetic programming (GP) is a branch of Evolutionary Computing that aims the automatic discovery of programs to solve a given problem. Since its appearance, in the earliest nineties, GP has become one of the most promising paradigms for solving problems in the artificial intelligence field, producing a number of human-competitive results and even patentable new inventions. And, as other areas in Computer Science, GP continues evolving quickly, with new ideas, techniques and applications being constantly proposed. The purpose of this book is to show recent advances in the field of GP, both the development of new theoretical approaches and the emergence of applications that have successfully solved different real world problems. The volume is primarily aimed at postgraduates, researchers and academics, although it is hoped that it may be useful to undergraduates who wish to learn about the leading techniques in GP.

Multi-Objective Evolutionary Algorithms for Knowledge Discovery from Databases

Author : Ashish Ghosh
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.

Foundations in Grammatical Evolution for Dynamic Environments

Author : Ian Dempsey
Publisher : Springer
ISBN 13 : 3642003141
Total Pages : 200 pages
Book Rating : 4.6/5 (42 download)

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Book Synopsis Foundations in Grammatical Evolution for Dynamic Environments by : Ian Dempsey

Download or read book Foundations in Grammatical Evolution for Dynamic Environments written by Ian Dempsey and published by Springer. This book was released on 2009-03-18 with total page 200 pages. Available in PDF, EPUB and Kindle. Book excerpt: Dynamic environments abound, encompassing many real-world problems in fields as diverse as finance, engineering, biology and business. A vibrant research literature has emerged which takes inspiration from evolutionary processes to develop problem-solvers for these environments. 'Foundations in Grammatical Evolution for Dynamic Environments' is a cutting edge volume illustrating current state of the art in applying grammar-based evolutionary computation to solve real-world problems in dynamic environments. The book provides a clear introduction to dynamic environments and the types of change that can occur. This is followed by a detailed description of evolutionary computation, concentrating on the powerful Grammatical Evolution methodology. It continues by addressing fundamental issues facing all Evolutionary Algorithms in dynamic problems, such as how to adapt and generate constants, how to enhance evolvability and maintain diversity. Finally, the developed methods are illustrated with application to the real-world dynamic problem of trading on financial time-series. The book was written to be accessible to a wide audience and should be of interest to practitioners, academics and students, who are seeking to apply grammar-based evolutionary algorithms to solve problems in dynamic environments. 'Foundations in Grammatical Evolution for Dynamic Environments' is the second book dedicated to the topic of Grammatical Evolution.