Proceedings Of The 14th Annual Conference On Genetic And Evolutionary Computation

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Artificial Evolution

Author : Lhassane Idoumghar
Publisher : Springer Nature
ISBN 13 : 303045715X
Total Pages : 233 pages
Book Rating : 4.0/5 (34 download)

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Book Synopsis Artificial Evolution by : Lhassane Idoumghar

Download or read book Artificial Evolution written by Lhassane Idoumghar and published by Springer Nature. This book was released on 2020-04-29 with total page 233 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the thoroughly refereed post-conference proceedings of the 14th International Conference on Artificial Evolution, EA 2019, held in Mulhouse, France, in October 2019. The 16 revised papers were carefully reviewed and selected from 33 submissions. The papers cover a wide range of topics in the field of artificial evolution, such as evolutionary computation, evolutionary optimization, co-evolution, artificial life, population dynamics, theory, algorithmic and modeling, implementations, application of evolutionary paradigms to the real world (industry, biosciences...), other biologically-inspired paradigms (swarm, artificial ants, artificial immune systems, cultural algorithms...), memetic algorithms, multi-objective optimization, constraint handling, parallel algorithms, dynamic optimization, machine learning and hybridization with other soft computing techniques.

Evolutionary Computation in Practice

Author : Tina Yu
Publisher : Springer Science & Business Media
ISBN 13 : 3540757708
Total Pages : 328 pages
Book Rating : 4.5/5 (47 download)

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Book Synopsis Evolutionary Computation in Practice by : Tina Yu

Download or read book Evolutionary Computation in Practice written by Tina Yu and published by Springer Science & Business Media. This book was released on 2008-01-04 with total page 328 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is loaded with examples in which computer scientists and engineers have used evolutionary computation - programs that mimic natural evolution - to solve many real-world problems. They aren’t abstract, mathematically intensive papers, but accounts of solving important problems, including tips from the authors on how to avoid common pitfalls, maximize the effectiveness and efficiency of the search process, and many other practical suggestions.

Applications of Evolutionary Computation

Author : Pedro A. Castillo
Publisher : Springer
ISBN 13 : 9783030437213
Total Pages : 704 pages
Book Rating : 4.4/5 (372 download)

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Book Synopsis Applications of Evolutionary Computation by : Pedro A. Castillo

Download or read book Applications of Evolutionary Computation written by Pedro A. Castillo and published by Springer. This book was released on 2020-03-11 with total page 704 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 23rd European Conference on Applications of Evolutionary Computation, EvoApplications 2020, held as part of Evo*2020, in Seville, Spain, in April 2020, co-located with the Evo*2020 events EuroGP, EvoMUSART and EvoCOP. The 44 full papers presented in this book were carefully reviewed and selected from 62 submissions. The papers cover a wide spectrum of topics, ranging from applications of bio-inspired techniques on social networks, evolutionary computation in digital healthcare and personalized medicine, soft-computing applied to games, applications of deep-bioinspired algorithms, parallel and distributed systems, and evolutionary machine learning.

Genetic Algorithms and Genetic Programming

Author : Michael Affenzeller
Publisher : CRC Press
ISBN 13 : 1420011324
Total Pages : 395 pages
Book Rating : 4.4/5 (2 download)

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Book Synopsis Genetic Algorithms and Genetic Programming by : Michael Affenzeller

Download or read book Genetic Algorithms and Genetic Programming written by Michael Affenzeller and published by CRC Press. This book was released on 2009-04-09 with total page 395 pages. Available in PDF, EPUB and Kindle. Book excerpt: Genetic Algorithms and Genetic Programming: Modern Concepts and Practical Applications discusses algorithmic developments in the context of genetic algorithms (GAs) and genetic programming (GP). It applies the algorithms to significant combinatorial optimization problems and describes structure identification using HeuristicLab as a platform for al

Evolutionary Computation: Theory And Applications

Author : Xin Yao
Publisher : World Scientific
ISBN 13 : 9814518166
Total Pages : 376 pages
Book Rating : 4.8/5 (145 download)

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Book Synopsis Evolutionary Computation: Theory And Applications by : Xin Yao

Download or read book Evolutionary Computation: Theory And Applications written by Xin Yao and published by World Scientific. This book was released on 1999-11-22 with total page 376 pages. Available in PDF, EPUB and Kindle. Book excerpt: Evolutionary computation is the study of computational systems which use ideas and get inspiration from natural evolution and adaptation. This book is devoted to the theory and application of evolutionary computation. It is a self-contained volume which covers both introductory material and selected advanced topics. The book can roughly be divided into two major parts: the introductory one and the one on selected advanced topics. Each part consists of several chapters which present an in-depth discussion of selected topics. A strong connection is established between evolutionary algorithms and traditional search algorithms. This connection enables us to incorporate ideas in more established fields into evolutionary algorithms. The book is aimed at a wide range of readers. It does not require previous exposure to the field since introductory material is included. It will be of interest to anyone who is interested in adaptive optimization and learning. People in computer science, artificial intelligence, operations research, and various engineering fields will find it particularly interesting.

Evolutionary Computation

Author : Kenneth A. De Jong
Publisher : MIT Press
ISBN 13 : 0262303337
Total Pages : 267 pages
Book Rating : 4.2/5 (623 download)

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Book Synopsis Evolutionary Computation by : Kenneth A. De Jong

Download or read book Evolutionary Computation written by Kenneth A. De Jong and published by MIT Press. This book was released on 2006-02-03 with total page 267 pages. Available in PDF, EPUB and Kindle. Book excerpt: A clear and comprehensive introduction to the field of evolutionary computation that takes an integrated approach. Evolutionary computation, the use of evolutionary systems as computational processes for solving complex problems, is a tool used by computer scientists and engineers who want to harness the power of evolution to build useful new artifacts, by biologists interested in developing and testing better models of natural evolutionary systems, and by artificial life scientists for designing and implementing new artificial evolutionary worlds. In this clear and comprehensive introduction to the field, Kenneth De Jong presents an integrated view of the state of the art in evolutionary computation. Although other books have described such particular areas of the field as genetic algorithms, genetic programming, evolution strategies, and evolutionary programming, Evolutionary Computation is noteworthy for considering these systems as specific instances of a more general class of evolutionary algorithms. This useful overview of a fragmented field is suitable for classroom use or as a reference for computer scientists and engineers.

Introduction to Evolutionary Computing

Author : A.E. Eiben
Publisher : Springer Science & Business Media
ISBN 13 : 9783540401841
Total Pages : 328 pages
Book Rating : 4.4/5 (18 download)

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Book Synopsis Introduction to Evolutionary Computing by : A.E. Eiben

Download or read book Introduction to Evolutionary Computing written by A.E. Eiben and published by Springer Science & Business Media. This book was released on 2007-08-06 with total page 328 pages. Available in PDF, EPUB and Kindle. Book excerpt: The first complete overview of evolutionary computing, the collective name for a range of problem-solving techniques based on principles of biological evolution, such as natural selection and genetic inheritance. The text is aimed directly at lecturers and graduate and undergraduate students. It is also meant for those who wish to apply evolutionary computing to a particular problem or within a given application area. The book contains quick-reference information on the current state-of-the-art in a wide range of related topics, so it is of interest not just to evolutionary computing specialists but to researchers working in other fields.

Developments Of Artificial Intelligence Technologies In Computation And Robotics - Proceedings Of The 14th International Flins Conference (Flins 2020)

Download Developments Of Artificial Intelligence Technologies In Computation And Robotics - Proceedings Of The 14th International Flins Conference (Flins 2020) PDF Online Free

Author : Zhong Li
Publisher : World Scientific
ISBN 13 : 9811223343
Total Pages : 1588 pages
Book Rating : 4.8/5 (112 download)

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Book Synopsis Developments Of Artificial Intelligence Technologies In Computation And Robotics - Proceedings Of The 14th International Flins Conference (Flins 2020) by : Zhong Li

Download or read book Developments Of Artificial Intelligence Technologies In Computation And Robotics - Proceedings Of The 14th International Flins Conference (Flins 2020) written by Zhong Li and published by World Scientific. This book was released on 2020-08-04 with total page 1588 pages. Available in PDF, EPUB and Kindle. Book excerpt: FLINS, an acronym introduced in 1994 and originally for Fuzzy Logic and Intelligent Technologies in Nuclear Science, is now extended into a well-established international research forum to advance the foundations and applications of computational intelligence for applied research in general and for complex engineering and decision support systems.The principal mission of FLINS is bridging the gap between machine intelligence and real complex systems via joint research between universities and international research institutions, encouraging interdisciplinary research and bringing multidiscipline researchers together.FLINS 2020 is the fourteenth in a series of conferences on computational intelligence systems.

Genetic and Evolutionary Computation--GECCO 2003

Author : Erick Cantú-Paz
Publisher : Springer Science & Business Media
ISBN 13 : 3540406026
Total Pages : 1294 pages
Book Rating : 4.5/5 (44 download)

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Book Synopsis Genetic and Evolutionary Computation--GECCO 2003 by : Erick Cantú-Paz

Download or read book Genetic and Evolutionary Computation--GECCO 2003 written by Erick Cantú-Paz and published by Springer Science & Business Media. This book was released on 2003-07-08 with total page 1294 pages. Available in PDF, EPUB and Kindle. Book excerpt: The set LNCS 2723 and LNCS 2724 constitutes the refereed proceedings of the Genetic and Evolutionaty Computation Conference, GECCO 2003, held in Chicago, IL, USA in July 2003. The 193 revised full papers and 93 poster papers presented were carefully reviewed and selected from a total of 417 submissions. The papers are organized in topical sections on a-life adaptive behavior, agents, and ant colony optimization; artificial immune systems; coevolution; DNA, molecular, and quantum computing; evolvable hardware; evolutionary robotics; evolution strategies and evolutionary programming; evolutionary sheduling routing; genetic algorithms; genetic programming; learning classifier systems; real-world applications; and search based softare engineering.

Genetic and Evolutionary Computation for Image Processing and Analysis

Author : Stefano Cagnoni
Publisher : Hindawi Publishing Corporation
ISBN 13 : 9774540018
Total Pages : 473 pages
Book Rating : 4.7/5 (745 download)

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Book Synopsis Genetic and Evolutionary Computation for Image Processing and Analysis by : Stefano Cagnoni

Download or read book Genetic and Evolutionary Computation for Image Processing and Analysis written by Stefano Cagnoni and published by Hindawi Publishing Corporation. This book was released on 2008 with total page 473 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Efficient and Accurate Parallel Genetic Algorithms

Author : Erick Cantú-Paz
Publisher : Springer Science & Business Media
ISBN 13 : 9780792372219
Total Pages : 192 pages
Book Rating : 4.3/5 (722 download)

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Book Synopsis Efficient and Accurate Parallel Genetic Algorithms by : Erick Cantú-Paz

Download or read book Efficient and Accurate Parallel Genetic Algorithms written by Erick Cantú-Paz and published by Springer Science & Business Media. This book was released on 2000-11-30 with total page 192 pages. Available in PDF, EPUB and Kindle. Book excerpt: As genetic algorithms (GAs) become increasingly popular, they are applied to difficult problems that may require considerable computations. In such cases, parallel implementations of GAs become necessary to reach high-quality solutions in reasonable times. But, even though their mechanics are simple, parallel GAs are complex non-linear algorithms that are controlled by many parameters, which are not well understood. Efficient and Accurate Parallel Genetic Algorithms is about the design of parallel GAs. It presents theoretical developments that improve our understanding of the effect of the algorithm's parameters on its search for quality and efficiency. These developments are used to formulate guidelines on how to choose the parameter values that minimize the execution time while consistently reaching solutions of high quality. Efficient and Accurate Parallel Genetic Algorithms can be read in several ways, depending on the readers' interests and their previous knowledge about these algorithms. Newcomers to the field will find the background material in each chapter useful to become acquainted with previous work, and to understand the problems that must be faced to design efficient and reliable algorithms. Potential users of parallel GAs that may have doubts about their practicality or reliability may be more confident after reading this book and understanding the algorithms better. Those who are ready to try a parallel GA on their applications may choose to skim through the background material, and use the results directly without following the derivations in detail. These readers will find that using the results can help them to choose the type of parallel GA that best suits their needs, without having to invest the time to implement and test various options. Once that is settled, even the most experienced users dread the long and frustrating experience of configuring their algorithms by trial and error. The guidelines contained herein will shorten dramatically the time spent tweaking the algorithm, although some experimentation may still be needed for fine-tuning. Efficient and Accurate Parallel Genetic Algorithms is suitable as a secondary text for a graduate level course, and as a reference for researchers and practitioners in industry.

Organisms, Genes and Evolution

Author : Dieter Stefan Peters
Publisher : Franz Steiner Verlag
ISBN 13 : 9783515076593
Total Pages : 250 pages
Book Rating : 4.0/5 (765 download)

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Book Synopsis Organisms, Genes and Evolution by : Dieter Stefan Peters

Download or read book Organisms, Genes and Evolution written by Dieter Stefan Peters and published by Franz Steiner Verlag. This book was released on 2000 with total page 250 pages. Available in PDF, EPUB and Kindle. Book excerpt: Aus dem Inhalt: Peter Janich: Where does biology get its objects from? Mathias Gutmann: The status of organism: Towards a constructivist theory of organism Walter Bock: Explanations in a historical science Christine Hertler: Organism and morphology: Methodological differences between functional and constructional morphology Dominique G. Homberger: Similarities and differences: The distinctive approaches of systematics and comparative anatomy towards homology and analogy Raphael Falk: The organism as a necessary entity of evolution Franz M. Wuketits: The organism's place in evolution: Darwin's views and contemporary organismic theories Christian Kummer: The development of organismic structure and the philosophy behind Guiseppe Sermonti: The butterfly and the lion Harald Riedl: Organism - Ecosystem - Biosphere: Some comments on the organismic concept Sievert Lorenzen: How to advance from the theory of natural selection towards the General Theory of Self-Organization Antonio Lima-de-Faria: The evolutionary periodicity of flight Hans-Rainer Duncker: The evolution of avian ontogenies: Determination of molecular evolution by integrated complex functional systems and ecological conditions Winfried Stefan Peters & Bernd Herkner: An outline of a theory of the constructional constraints governing early organismic evolution Werner E. G. Mueller e.a.: Monophyly of Metazoa: Phylogenetic analyses of genes encoding SerThr-kinases and a receptor Tyr-kinase from Porifera [sponges] Karl Edlinger: The evolution of the mollusc construction: Living organisms as energy-transforming systems Michael Gudo: A structural-functional approach to the soft bodies of rugose corals.

Genetic Algorithm Essentials

Author : Oliver Kramer
Publisher : Springer
ISBN 13 : 331952156X
Total Pages : 94 pages
Book Rating : 4.3/5 (195 download)

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Book Synopsis Genetic Algorithm Essentials by : Oliver Kramer

Download or read book Genetic Algorithm Essentials written by Oliver Kramer and published by Springer. This book was released on 2017-01-07 with total page 94 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book introduces readers to genetic algorithms (GAs) with an emphasis on making the concepts, algorithms, and applications discussed as easy to understand as possible. Further, it avoids a great deal of formalisms and thus opens the subject to a broader audience in comparison to manuscripts overloaded by notations and equations. The book is divided into three parts, the first of which provides an introduction to GAs, starting with basic concepts like evolutionary operators and continuing with an overview of strategies for tuning and controlling parameters. In turn, the second part focuses on solution space variants like multimodal, constrained, and multi-objective solution spaces. Lastly, the third part briefly introduces theoretical tools for GAs, the intersections and hybridizations with machine learning, and highlights selected promising applications.

Genetic Programming Theory and Practice XII

Author : Rick Riolo
Publisher : Springer
ISBN 13 : 3319160303
Total Pages : 186 pages
Book Rating : 4.3/5 (191 download)

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Book Synopsis Genetic Programming Theory and Practice XII by : Rick Riolo

Download or read book Genetic Programming Theory and Practice XII written by Rick Riolo and published by Springer. This book was released on 2015-06-04 with total page 186 pages. Available in PDF, EPUB and Kindle. Book excerpt: These contributions, written by the foremost international researchers and practitioners of Genetic Programming (GP), explore the synergy between theoretical and empirical results on real-world problems, producing a comprehensive view of the state of the art in GP. Topics in this volume include: gene expression regulation, novel genetic models for glaucoma, inheritable epigenetics, combinators in genetic programming, sequential symbolic regression, system dynamics, sliding window symbolic regression, large feature problems, alignment in the error space, HUMIE winners, Boolean multiplexer function, and highly distributed genetic programming systems. Application areas include chemical process control, circuit design, financial data mining and bioinformatics. Readers will discover large-scale, real-world applications of GP to a variety of problem domains via in-depth presentations of the latest and most significant results.

Genetic Programming Theory and Practice XVIII

Author : Wolfgang Banzhaf
Publisher : Springer Nature
ISBN 13 : 9811681139
Total Pages : 220 pages
Book Rating : 4.8/5 (116 download)

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Book Synopsis Genetic Programming Theory and Practice XVIII by : Wolfgang Banzhaf

Download or read book Genetic Programming Theory and Practice XVIII written by Wolfgang Banzhaf and published by Springer Nature. This book was released on 2022-02-11 with total page 220 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book, written by the foremost international researchers and practitioners of genetic programming (GP), explores the synergy between theoretical and empirical results on real-world problems, producing a comprehensive view of the state of the art in GP. In this year’s edition, the topics covered include many of the most important issues and research questions in the field, such as opportune application domains for GP-based methods, game playing and co-evolutionary search, symbolic regression and efficient learning strategies, encodings and representations for GP, schema theorems, and new selection mechanisms. The book includes several chapters on best practices and lessons learned from hands-on experience. Readers will discover large-scale, real-world applications of GP to a variety of problem domains via in-depth presentations of the latest and most significant results.

Intelligent Evolutionary Optimization

Author : Hua Xu
Publisher : Elsevier
ISBN 13 : 0443274010
Total Pages : 388 pages
Book Rating : 4.4/5 (432 download)

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Book Synopsis Intelligent Evolutionary Optimization by : Hua Xu

Download or read book Intelligent Evolutionary Optimization written by Hua Xu and published by Elsevier. This book was released on 2024-04-18 with total page 388 pages. Available in PDF, EPUB and Kindle. Book excerpt: Intelligent Evolutionary Optimization introduces biologically-inspired intelligent optimization algorithms to address complex optimization problems and provide practical solutions for tackling combinatorial optimization problems. The book explores efficient search and optimization methods in high-dimensional spaces, particularly for high-dimensional multi-objective optimization problems, offering practical guidance and effective solutions across various domains. Providing practical solutions, methods, and tools to tackle complex optimization problems and enhance modern optimization techniques, this book will be a valuable resource for professionals seeking to enhance their understanding and proficiency in intelligent evolutionary optimization.• Introduces biologically-inspired intelligent optimization algorithms capable of effectively solving complex optimization problems, teaching readers how to apply these algorithms and improve existing optimization techniques • Explores multi-objective optimization problems in high-dimensional spaces for readers to understand how to perform efficient search and optimization, acquiring strategies and tools adapted to high-dimensional environments • Presents the practical applications of intelligent evolutionary optimization in various fields to help readers gain insights into the latest trends and application scenarios in the field and receive practical guidance and solutions

Handbook of Grammatical Evolution

Author : Conor Ryan
Publisher : Springer
ISBN 13 : 3319787179
Total Pages : 497 pages
Book Rating : 4.3/5 (197 download)

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Book Synopsis Handbook of Grammatical Evolution by : Conor Ryan

Download or read book Handbook of Grammatical Evolution written by Conor Ryan and published by Springer. This book was released on 2018-09-11 with total page 497 pages. Available in PDF, EPUB and Kindle. Book excerpt: This handbook offers a comprehensive treatise on Grammatical Evolution (GE), a grammar-based Evolutionary Algorithm that employs a function to map binary strings into higher-level structures such as programs. GE's simplicity and modular nature make it a very flexible tool. Since its introduction almost twenty years ago, researchers have applied it to a vast range of problem domains, including financial modelling, parallel programming and genetics. Similarly, much work has been conducted to exploit and understand the nature of its mapping scheme, triggering additional research on everything from different grammars to alternative mappers to initialization. The book first introduces GE to the novice, providing a thorough description of GE along with historical key advances. Two sections follow, each composed of chapters from international leading researchers in the field. The first section concentrates on analysis of GE and its operation, giving valuable insight into set up and deployment. The second section consists of seven chapters describing radically different applications of GE. The contributions in this volume are beneficial to both novices and experts alike, as they detail the results and researcher experiences of applying GE to large scale and difficult problems. Topics include: • Grammar design • Bias in GE • Mapping in GE • Theory of disruption in GE · Structured GE · Geometric semantic GE · GE and semantics · Multi- and Many-core heterogeneous parallel GE · Comparing methods to creating constants in GE · Financial modelling with GE · Synthesis of parallel programs on multi-cores · Design, architecture and engineering with GE · Computational creativity and GE · GE in the prediction of glucose for diabetes · GE approaches to bioinformatics and system genomics · GE with coevolutionary algorithms in cybersecurity · Evolving behaviour trees with GE for platform games · Business analytics and GE for the prediction of patient recruitment in multicentre clinical trials