Category Archives: Books

The Entrepreneurial Engineer

Entrepreneurial times call for The Entrepreneurial Engineer In an age when technology and business are merging as never before, today’s engineers need skills matched with the times. Today, career success as an engineer is determined as much by an ability … Continue reading

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Genetic Algorithms in Search, Optimization, and Machine Learning

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 … Continue reading

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Scalable Optimization via Probabilistic Modeling: From Algorithms to Applications (Studies in Computational Intelligence)

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 … Continue reading

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Rule-Based Evolutionary Online Learning Systems: A Principled Approach to LCS Analysis and Design (Studies in Fuzziness and Soft Computing)

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 … Continue reading

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Hierarchical Bayesian Optimization Algorithm : Toward a New Generation of Evolutionary Algorithms (Studies in Fuzziness and Soft Computing)

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 … Continue reading

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Optimization for Engineering Design: Algorithms and Examples

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.

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Representations for Genetic and Evolutionary Algorithms

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 … Continue reading

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The Design of Innovation (Genetic Algorithms and Evolutionary Computation)

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 … Continue reading

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OmeGA: A Competent Genetic Algorithm for Solving Permutation and Scheduling Problems

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 … Continue reading

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Anticipatory Learning Classifier Systems

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 … Continue reading

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