Evolutionary Computation for Modeling and Optimization

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Release : 2006-04-04
Genre : Computers
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Book Rating : 093/5 ( reviews)

Evolutionary Computation for Modeling and Optimization - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Evolutionary Computation for Modeling and Optimization write by Daniel Ashlock. This book was released on 2006-04-04. Evolutionary Computation for Modeling and Optimization available in PDF, EPUB and Kindle. Concentrates on developing intuition about evolutionary computation and problem solving skills and tool sets. Lots of applications and test problems, including a biotechnology chapter.

Modeling Applications and Theoretical Innovations in Interdisciplinary Evolutionary Computation

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Release : 2013-03-31
Genre : Computers
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Book Rating : 297/5 ( reviews)

Modeling Applications and Theoretical Innovations in Interdisciplinary Evolutionary Computation - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Modeling Applications and Theoretical Innovations in Interdisciplinary Evolutionary Computation write by Samuelson Hong, Wei-Chiang. This book was released on 2013-03-31. Modeling Applications and Theoretical Innovations in Interdisciplinary Evolutionary Computation available in PDF, EPUB and Kindle. Evolutionary computation has emerged as a major topic in the scientific community as many of its techniques have successfully been applied to solve problems in a wide variety of fields. Modeling Applications and Theoretical Innovations in Interdisciplinary Evolutionary Computation provides comprehensive research on emerging theories and its aspects on intelligent computation. Particularly focusing on breaking trends in evolutionary computing, algorithms, and programming, this publication serves to support professionals, government employees, policy and decision makers, as well as students in this scientific field.

Evolutionary Optimization Algorithms

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Release : 2013-06-13
Genre : Mathematics
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Book Rating : 503/5 ( reviews)

Evolutionary Optimization Algorithms - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Evolutionary Optimization Algorithms write by Dan Simon. This book was released on 2013-06-13. Evolutionary Optimization Algorithms available in PDF, EPUB and Kindle. A clear and lucid bottom-up approach to the basic principles of evolutionary algorithms Evolutionary algorithms (EAs) are a type of artificial intelligence. EAs are motivated by optimization processes that we observe in nature, such as natural selection, species migration, bird swarms, human culture, and ant colonies. This book discusses the theory, history, mathematics, and programming of evolutionary optimization algorithms. Featured algorithms include genetic algorithms, genetic programming, ant colony optimization, particle swarm optimization, differential evolution, biogeography-based optimization, and many others. Evolutionary Optimization Algorithms: Provides a straightforward, bottom-up approach that assists the reader in obtaining a clear but theoretically rigorous understanding of evolutionary algorithms, with an emphasis on implementation Gives a careful treatment of recently developed EAs including opposition-based learning, artificial fish swarms, bacterial foraging, and many others and discusses their similarities and differences from more well-established EAs Includes chapter-end problems plus a solutions manual available online for instructors Offers simple examples that provide the reader with an intuitive understanding of the theory Features source code for the examples available on the author's website Provides advanced mathematical techniques for analyzing EAs, including Markov modeling and dynamic system modeling Evolutionary Optimization Algorithms: Biologically Inspired and Population-Based Approaches to Computer Intelligence is an ideal text for advanced undergraduate students, graduate students, and professionals involved in engineering and computer science.

Evolutionary Computation for Modeling and Optimization

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Release : 2010
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Evolutionary Computation for Modeling and Optimization - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Evolutionary Computation for Modeling and Optimization write by . This book was released on 2010. Evolutionary Computation for Modeling and Optimization available in PDF, EPUB and Kindle.

Introduction to Evolutionary Algorithms

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Release : 2010-06-10
Genre : Computers
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Book Rating : 298/5 ( reviews)

Introduction to Evolutionary Algorithms - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Introduction to Evolutionary Algorithms write by Xinjie Yu. This book was released on 2010-06-10. Introduction to Evolutionary Algorithms available in PDF, EPUB and Kindle. Evolutionary algorithms are becoming increasingly attractive across various disciplines, such as operations research, computer science, industrial engineering, electrical engineering, social science and economics. Introduction to Evolutionary Algorithms presents an insightful, comprehensive, and up-to-date treatment of evolutionary algorithms. It covers such hot topics as: • genetic algorithms, • differential evolution, • swarm intelligence, and • artificial immune systems. The reader is introduced to a range of applications, as Introduction to Evolutionary Algorithms demonstrates how to model real world problems, how to encode and decode individuals, and how to design effective search operators according to the chromosome structures with examples of constraint optimization, multiobjective optimization, combinatorial optimization, and supervised/unsupervised learning. This emphasis on practical applications will benefit all students, whether they choose to continue their academic career or to enter a particular industry. Introduction to Evolutionary Algorithms is intended as a textbook or self-study material for both advanced undergraduates and graduate students. Additional features such as recommended further reading and ideas for research projects combine to form an accessible and interesting pedagogical approach to this widely used discipline.