http://www.illigal.uiuc.edu/web/books Books Sun, 15 Jul 2007 17:40:13 +0000 http://backend.userland.com/rss092 en 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 to communicate with coworkers, sell ideas, and manage time as by ... http://www.illigal.uiuc.edu/web/books/2007/06/24/the-entrepreneurial-engineer/ 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 ... http://www.illigal.uiuc.edu/web/books/2007/02/24/genetic-algorithms-in-search-optimization-and-machine-learning/ 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 ... http://www.illigal.uiuc.edu/web/books/2006/11/14/scalable-optimization-via-probabilistic-modeling-from-algorithms-to-applications-studies-in-computational-intelligence/ 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 ... http://www.illigal.uiuc.edu/web/books/2005/12/22/rule-based-evolutionary-online-learning-systems-a-principled-approach-to-lcs-analysis-and-design-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 on two algorithms that replace traditional variation operators of evolutionary ... http://www.illigal.uiuc.edu/web/books/2005/03/24/hierarchical-bayesian-optimization-algorithm-toward-a-new-generation-of-evolutionary-algorithms-studies-in-fuzziness-and-soft-computing/ 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. http://www.illigal.uiuc.edu/web/books/2004/02/29/optimization-for-engineering-design-algorithms-and-examples/ 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 ... http://www.illigal.uiuc.edu/web/books/2002/08/10/representations-for-genetic-and-evolutionary-algorithms/ 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 ... http://www.illigal.uiuc.edu/web/books/2002/06/30/the-design-of-innovation-genetic-algorithms-and-evolutionary-computation/ 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. ... http://www.illigal.uiuc.edu/web/books/2002/01/30/omega-a-competent-genetic-algorithm-for-solving-permutation-and-scheduling-problems/ 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 ... http://www.illigal.uiuc.edu/web/books/2002/01/25/anticipatory-learning-classifier-systems/