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Book Foundations of Genetic Algorithms 1993  FOGA 2

Download or read book Foundations of Genetic Algorithms 1993 FOGA 2 written by FOGA and published by Morgan Kaufmann. This book was released on 2014-06-28 with total page 343 pages. Available in PDF, EPUB and Kindle. Book excerpt: Foundations of Genetic Algorithms, Volume 2 provides insight of theoretical work in genetic algorithms. This book provides a general understanding of a canonical genetic algorithm. Organized into six parts encompassing 19 chapters, this volume begins with an overview of genetic algorithms in the broader adaptive systems context. This text then reviews some results in mathematical genetics that use probability distributions to characterize the effects of recombination on multiple loci in the absence of selection. Other chapters examine the static building block hypothesis (SBBH), which is the underlying assumption used to define deception. This book discusses as well the effect of noise on the quality of convergence of genetic algorithms. The final chapter deals with the primary goal in machine learning and artificial intelligence, which is to dynamically and automatically decompose problems into simpler problems to facilitate their solution. This book is a valuable resource for theorists and genetic algorithm researchers.

Book Foundations of Genetic Algorithms 1991  FOGA 1

Download or read book Foundations of Genetic Algorithms 1991 FOGA 1 written by Gregory J.E. Rawlins and published by Elsevier. This book was released on 2014-06-28 with total page 348 pages. Available in PDF, EPUB and Kindle. Book excerpt: Foundations of Genetic Algorithms 1991 (FOGA 1) discusses the theoretical foundations of genetic algorithms (GA) and classifier systems. This book compiles research papers on selection and convergence, coding and representation, problem hardness, deception, classifier system design, variation and recombination, parallelization, and population divergence. Other topics include the non-uniform Walsh-schema transform; spurious correlations and premature convergence in genetic algorithms; and variable default hierarchy separation in a classifier system. The grammar-based genetic algorithm; conditions for implicit parallelism; and analysis of multi-point crossover are also elaborated. This text likewise covers the genetic algorithms for real parameter optimization and isomorphisms of genetic algorithms. This publication is a good reference for students and researchers interested in genetic algorithms.

Book Foundations of Genetic Algorithms 1995  FOGA 3

Download or read book Foundations of Genetic Algorithms 1995 FOGA 3 written by FOGA and published by Morgan Kaufmann. This book was released on 2014-11-27 with total page 345 pages. Available in PDF, EPUB and Kindle. Book excerpt: Foundations of Genetic Algorithms 1995 (FOGA 3)

Book Foundations of Genetic Algorithms 2001  FOGA 6

Download or read book Foundations of Genetic Algorithms 2001 FOGA 6 written by Worth Martin and published by Elsevier. This book was released on 2001-07-18 with total page 351 pages. Available in PDF, EPUB and Kindle. Book excerpt: Foundations of Genetic Algorithms, Volume 6 is the latest in a series of books that records the prestigious Foundations of Genetic Algorithms Workshops, sponsored and organised by the International Society of Genetic Algorithms specifically to address theoretical publications on genetic algorithms and classifier systems. Genetic algorithms are one of the more successful machine learning methods. Based on the metaphor of natural evolution, a genetic algorithm searches the available information in any given task and seeks the optimum solution by replacing weaker populations with stronger ones. - Includes research from academia, government laboratories, and industry - Contains high calibre papers which have been extensively reviewed - Continues the tradition of presenting not only current theoretical work but also issues that could shape future research in the field - Ideal for researchers in machine learning, specifically those involved with evolutionary computation

Book Statistical Computing

    Book Details:
  • Author : Debasis Kundu
  • Publisher : Alpha Science Int'l Ltd.
  • Release : 2004
  • ISBN : 9781842652022
  • Pages : 440 pages

Download or read book Statistical Computing written by Debasis Kundu and published by Alpha Science Int'l Ltd.. This book was released on 2004 with total page 440 pages. Available in PDF, EPUB and Kindle. Book excerpt: Statistical Computing: Existing Methods and Recent Developments attempts to provide a state of the art account of existing methods and recent developments in the so called new field of Statistical Computing. Fourteen different chapters deal with a wide range of topics. This includes introductory topics such as the basic numerical analysis methods, random number generation, graphical techniques used in statistical data analysis and other areas. It also covers the more specialized techniques such as the EM algorithm, genetic algorithms, nonparametric smoothing techniques, resampling methods, and artificial neural network models, to name a few. In addition, the volume also deals with the computational issues involved in the analysis of mixture models, adaptive designs, weighted distributions, and statistical signal processing, topics which are unlikely to be covered in a standard text on Statistical Computing.

Book Genetic and Evolutionary Computation     GECCO 2004

Download or read book Genetic and Evolutionary Computation GECCO 2004 written by Kalyanmoy Deb and published by Springer. This book was released on 2004-06-01 with total page 1485 pages. Available in PDF, EPUB and Kindle. Book excerpt: The two volume set LNCS 3102/3103 constitutes the refereed proceedings of the Genetic and Evolutionary Computation Conference, GECCO 2004, held in Seattle, WA, USA, in June 2004. The 230 revised full papers and 104 poster papers presented were carefully reviewed and selected from 460 submissions. The papers are organized in topical sections on artificial life, adaptive behavior, agents, and ant colony optimization; artificial immune systems, biological applications; coevolution; evolutionary robotics; evolution strategies and evolutionary programming; evolvable hardware; genetic algorithms; genetic programming; learning classifier systems; real world applications; and search-based software engineering.

Book Foundations of Genetic Algorithms

Download or read book Foundations of Genetic Algorithms written by Alden H. Wright and published by Springer Science & Business Media. This book was released on 2005-07 with total page 325 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 8th workshop on the foundations of genetic algorithms, FOGA 2005, held in Aizu-Wakamatsu City, Japan, in January 2005. The 16 revised full papers presented provide an outstanding source of reference for the field of theoretical evolutionary computation including evolution strategies, evolutionary programming, and genetic programming, as well as the continuing growth in interactions with other fields such as mathematics, physics, and biology.

Book Intelligent Control

Download or read book Intelligent Control written by Nazmul Siddique and published by Springer. This book was released on 2013-11-29 with total page 292 pages. Available in PDF, EPUB and Kindle. Book excerpt: Intelligent Control considers non-traditional modelling and control approaches to nonlinear systems. Fuzzy logic, neural networks and evolutionary computing techniques are the main tools used. The book presents a modular switching fuzzy logic controller where a PD-type fuzzy controller is executed first followed by a PI-type fuzzy controller thus improving the performance of the controller compared with a PID-type fuzzy controller. The advantage of the switching-type fuzzy controller is that it uses one rule-base thus minimises the rule-base during execution. A single rule-base is developed by merging the membership functions for change of error of the PD-type controller and sum of error of the PI-type controller. Membership functions are then optimized using evolutionary algorithms. Since the two fuzzy controllers were executed in series, necessary further tuning of the differential and integral scaling factors of the controller is then performed. Neural-network-based tuning for the scaling parameters of the fuzzy controller is then described and finally an evolutionary algorithm is applied to the neurally-tuned-fuzzy controller in which the sigmoidal function shape of the neural network is determined. The important issue of stability is addressed and the text demonstrates empirically that the developed controller was stable within the operating range. The text concludes with ideas for future research to show the reader the potential for further study in this area. Intelligent Control will be of interest to researchers from engineering and computer science backgrounds working in the intelligent and adaptive control.

Book Machine Learning Proceedings 1995

Download or read book Machine Learning Proceedings 1995 written by Armand Prieditis and published by Morgan Kaufmann. This book was released on 2014-06-28 with total page 606 pages. Available in PDF, EPUB and Kindle. Book excerpt: Machine Learning Proceedings 1995

Book Simulated Evolution and Learning

Download or read book Simulated Evolution and Learning written by Bob McKay and published by Springer. This book was released on 2003-05-21 with total page 484 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume contains selected papers presented at the Second Asia-Paci c C- ference on Simulated Evolution and Learning (SEAL’98), from 24 to 27 Nov- ber 1998, in Canberra, Australia. SEAL’98 received a total of 92 submissions (67 papers for the regular sessions and 25 for the applications sessions). All papers were reviewed by three independent reviewers. After review, 62 papers were - cepted for oral presentation and 13 for poster presentation. Some of the accepted papers were selected for inclusion in this volume. SEAL’98 also featured a fully refereed special session on Evolutionary Computation in Power Engineering - ganised by Professor Kit Po Wong and Dr Loi Lei Lai. Two of the ve accepted papers are included in this volume. The papers included in these proceedings cover a wide range of topics in simulated evolution and learning, from self-adaptation to dynamic modelling, from reinforcement learning to agent systems, from evolutionary games to e- lutionary economics, and from novel theoretical results to successful applications, among others. SEAL’98 attracted 94 participants from 14 di erent countries, namely A- tralia, Belgium, Brazil, Germany, Iceland, India, Japan, South Korea, New Z- land, Portugal, Sweden, Taiwan, UK and the USA. It had three distinguished international scientists as keynote speakers, giving talks on natural computation (Hans-Paul Schwefel), reinforcement learning (Richard Sutton), and novel m- els in evolutionary design (John Gero). More information about SEAL’98 is still available at http://www.cs.adfa.edu.au/conference/seal98/.

Book Analyzing Evolutionary Algorithms

Download or read book Analyzing Evolutionary Algorithms written by Thomas Jansen and published by Springer Science & Business Media. This book was released on 2013-01-24 with total page 264 pages. Available in PDF, EPUB and Kindle. Book excerpt: Evolutionary algorithms is a class of randomized heuristics inspired by natural evolution. They are applied in many different contexts, in particular in optimization, and analysis of such algorithms has seen tremendous advances in recent years. In this book the author provides an introduction to the methods used to analyze evolutionary algorithms and other randomized search heuristics. He starts with an algorithmic and modular perspective and gives guidelines for the design of evolutionary algorithms. He then places the approach in the broader research context with a chapter on theoretical perspectives. By adopting a complexity-theoretical perspective, he derives general limitations for black-box optimization, yielding lower bounds on the performance of evolutionary algorithms, and then develops general methods for deriving upper and lower bounds step by step. This main part is followed by a chapter covering practical applications of these methods. The notational and mathematical basics are covered in an appendix, the results presented are derived in detail, and each chapter ends with detailed comments and pointers to further reading. So the book is a useful reference for both graduate students and researchers engaged with the theoretical analysis of such algorithms.

Book Practical Handbook of Genetic Algorithms

Download or read book Practical Handbook of Genetic Algorithms written by Lance D. Chambers and published by CRC Press. This book was released on 2019-09-17 with total page 564 pages. Available in PDF, EPUB and Kindle. Book excerpt: Practical Handbook of Genetic Algorithms, Volume 3: Complex Coding Systems contains computer-code examples for the development of genetic algorithm systems - compiling them from an array of practitioners in the field. Each contribution of this singular resource includes: unique code segments documentation descripti

Book Recent Advances in the Theory and Application of Fitness Landscapes

Download or read book Recent Advances in the Theory and Application of Fitness Landscapes written by Hendrik Richter and published by Springer Science & Business Media. This book was released on 2013-11-19 with total page 577 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is concerned with recent advances in fitness landscapes. The concept of fitness landscapes originates from theoretical biology and refers to a framework for analysing and visualizing the relationships between genotypes, phenotypes and fitness. These relationships lay at the centre of attempts to mathematically describe evolutionary processes and evolutionary dynamics. The book addresses recent advances in the understanding of fitness landscapes in evolutionary biology and evolutionary computation. In the volume, experts in the field of fitness landscapes present these findings in an integrated way to make it accessible to a number of audiences: senior undergraduate and graduate students in computer science, theoretical biology, physics, applied mathematics and engineering, but also researcher looking for a reference or/and entry point into using fitness landscapes for analysing algorithms. Also practitioners wanting to employ fitness landscape techniques for evaluating bio- and nature-inspired computing algorithms can find valuable material in the book. For teaching proposes, the book could also be used as a reference handbook.

Book Advances in Computational Intelligence

Download or read book Advances in Computational Intelligence written by Hans-Paul Schwefel and published by Springer Science & Business Media. This book was released on 2013-03-09 with total page 327 pages. Available in PDF, EPUB and Kindle. Book excerpt: The 30 coherently written chapters by leading researchers presented in this anthology are devoted to basic results achieved in computational intelligence since 1997. The book provides complete coverage of the core issues in the field, especially in fuzzy logic and control as well as for evolutionary optimization algorithms including genetic programming, in a comprehensive and systematic way. Theoretical and methodological investigations are complemented by prototypic applications for design and management tasks in electrical engineering, mechanical engineering, and chemical engineering. This book will become a valuable source of reference for researchers active in computational intelligence. Advanced students and professionals interested in learning about and applying advanced techniques of computational intelligence will appreciate the book as a useful guide enhanced by numerous examples and applications in a variety of fields.

Book Foundations of Genetic Algorithms 3

Download or read book Foundations of Genetic Algorithms 3 written by L. Darrell Whitley and published by . This book was released on 1995 with total page 352 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Book Advances in Water Supply Management

Download or read book Advances in Water Supply Management written by Č Maksimović and published by Taylor & Francis. This book was released on 2003 with total page 752 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Book New Frontier In Evolutionary Algorithms  Theory And Applications

Download or read book New Frontier In Evolutionary Algorithms Theory And Applications written by Iba Hitoshi and published by Imperial College Press. This book was released on 2011-08-26 with total page 316 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book delivers theoretical and practical knowledge of Genetic Algorithms (GA) for the purpose of practical applications. It provides a methodology for a GA-based search strategy with the integration of several Artificial Life and Artificial Intelligence techniques, such as memetic concepts, swarm intelligence, and foraging strategies. The development of such tools contributes to better optimizing methodologies when addressing tasks from areas such as robotics, financial forecasting, and data mining in bioinformatics.The emphasis of this book is on applicability to the real world. Tasks from application areas - optimization of the trading rule in foreign exchange (FX) and stock prices, economic load dispatch in power system, exit/door placement for evacuation planning, and gene regulatory network inference in bioinformatics - are studied, and the resultant empirical investigations demonstrate how successful the proposed approaches are when solving real-world tasks of great importance.