Genetic Algorithms in Search, Optimization, and Machine Learning
Goldberg, D. E. (2007)Publisher: Addison Wesley | ISBN: 0201157675 | Price: 51.09
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Reviews from amazon.com:
David Goldberg’s Genetic Algorithms in Search, Optimization and Machine Learning is by far the bestselling introduction to genetic algorithms. Goldberg is one of the preeminent researchers in the field–he has published over 100 research articles on genetic algorithms and is a student of John Holland, the father of genetic algorithms–and his deep understanding […]
Posted: February 24th, 2007 under Genetic algorithms. Comments: none
Scalable Optimization via Probabilistic Modeling: From Algorithms to Applications (Studies in Computational Intelligence)
Pelikan, M., Sastry, K., Cantú-Paz, E. (2006)Publisher: Springer | ISBN: | Price: 101.15
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This book focuses like a laser beam on one of the hottest topics in evolutionary computation over the last decade or so: estimation of distribution algorithms (EDAs). EDAs are an important current technique that is leading to breakthroughs in genetic and evolutionary computation and in optimization more generally. I’m putting Scalable Optimization via Probabilistic Modeling […]
Posted: November 14th, 2006 under Genetic algorithms. Comments: none
Rule-Based Evolutionary Online Learning Systems: A Principled Approach to LCS Analysis and Design (Studies in Fuzziness and Soft Computing)
Butz, M. V. (2005)Publisher: Springer | ISBN: 3540253793 | Price: 112.29
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The book offers a comprehensive introduction to learning classifier systems (LCS) – or more generally, rule-based evolutionary online learning systems. LCSs learn interactively – much like a neural network – but with an increased adaptivity and flexibility. This book provides the necessary background knowledge on problem types, genetic algorithms, and reinforcement learning as well as […]
Posted: December 22nd, 2005 under Genetic algorithms. Comments: none
Hierarchical Bayesian Optimization Algorithm : Toward a New Generation of Evolutionary Algorithms (Studies in Fuzziness and Soft Computing)
Pelikan, M. (2005)Publisher: Springer | ISBN: 3540237747 | Price: 118.15
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Book Description Hierarchical Bayesian Optimization Algorithm: Toward a New Generation of Evolutionary Algorithms provides a framework for the design of competent optimization techniques by combining advanced evolutionary algorithms with state-of-the-art machine learning techniques. The primary focus of the book is on two algorithms that replace traditional variation operators of evolutionary algorithms by learning and sampling […]
Posted: March 24th, 2005 under Genetic algorithms. Comments: none
Optimization for Engineering Design: Algorithms and Examples
Deb, K. (2004)Publisher: Prentice-Hall of India. Privated Limited, New Delhi | ISBN: 81-203-0943-X | Price:
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From the author:Presents a number of traditional and nontraditional (genetic algorithms and simulated annealing) optimization techniques in an easy-to-understand step-by-step format. Algorithms are supported with numerical examples and computer codes. Note: This book is not available at Amazon.com.
Related PostsMulti-Objective Optimization Using Evolutionary AlgorithmsLifeskills and Leadership for EngineersThe Design of Innovation (Genetic Algorithms and Evolutionary Computation)
Posted: February 29th, 2004 under Genetic algorithms. Comments: none
Representations for Genetic and Evolutionary Algorithms
Rothlauf, F. (2002)Publisher: Physica-Verlag | ISBN: 3790814962 | Price:
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Book DescriptionIn 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 […]
Posted: August 10th, 2002 under Genetic algorithms. Comments: none
The Design of Innovation (Genetic Algorithms and Evolutionary Computation)
(2002)Publisher: Springer | ISBN: 1402070985 | Price: 63.96
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Book Summary THE DESIGN OF INNOVATION shows how to design and implement competent genetic algorithms—genetic algorithms that solve hard problems quickly, reliably, and accurately—and how the invention of competent genetic algorithms amounts to the creation of an effective computational theory of human innovation. For the specialist in genetic algorithms and evolutionary computation, this book combines […]
Posted: June 30th, 2002 under Genetic algorithms. Comments: none
OmeGA: A Competent Genetic Algorithm for Solving Permutation and Scheduling Problems
Knjazew, D. (2002)Publisher: Springer | ISBN: 0792374606 | Price: 118.15
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Genetic Algorithms and Evolutionary Computation, Volume 6.
Book Description
OmeGA: A Competent Genetic Algorithm for Solving Permutation and Scheduling Problemsaddresses two increasingly important areas in GA implementation and practice. OmeGA, or the ordering messy genetic algorithm, combines some of the latest in competent GA technology to solve scheduling and other permutation problems. Competent GAs are those designed […]
Posted: January 30th, 2002 under Genetic algorithms. Comments: none
Anticipatory Learning Classifier Systems
Butz, M. V. (2002)Publisher: Springer | ISBN: 0792376307 | Price: 118.15
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Genetic Algorithms and Evolutionary Computation, Volume
Book Description
Anticipatory Learning Classifier Systems describes the state of the art of anticipatory learning classifier systems-adaptive rule learning systems that autonomously build anticipatory environmental models. An anticipatory model specifies all possible action-effects in an environment with respect to given situations. It can be used to simulate anticipatory adaptive behavior. […]
Posted: January 25th, 2002 under Genetic algorithms. Comments: none
GECCO 2001: Proceedings of the Genetic and Evolutionary Computation Conference
Spector, L., Goodman, E. D., Wu, A., Langdon, W. B., Voigt, H.-M., Gen, M., Sen, S., Dorigo, M., Pezeshk, S., Garzon, M. H., Burke, E. (2001)Publisher: Morgan Kaufmann Publishers | ISBN: 1558607749 | Price:
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Book Description
The 2000 Genetic and Evolutionary Computation Conference (GECCO-00) combines the longest running conference in evolutionary computation (ICGA) and the world’s two largest EC conferences (GP and ICGA) to create a unique opportunity to bring together the best in research in the growing field of genetic and evolutionary computation (GEC).
The GECCO conference continues the […]
Posted: August 6th, 2001 under Genetic algorithms. Comments: none