Evolutionary Computation 2: Advanced Algorithms and Operators expands upon the basic ideas underlying evolutionary algorithms. The focus is on fitness evaluation, constraint-handling techniques, population structures, advanced techniques in evolutionary computation, and the implementation of evolutionary algorithms. It is intended to be used by individual researchers and students in the expanding field of evolutionary computation.
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This second volume provides very interesting information and updated material on additional topics. It also covers some advanced techniques and discusses the efficient implementation of evolutionary algorithms.
-H.D. Hecker, Zentralblatt Math
-H.D. Hecker, Zentralblatt Math
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3 of 3 people found the following review helpful:
3.0 out of 5 stars
Somewhat deceived,
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This review is from: Evolutionary Computation 2 - Advanced Algorithms and Operations (Paperback)
Volume I provided the general theory of evolutionary computation. This second volume on the other hand aims at introducing the reader to more practical aspects of evolutionary computation. While i found the first volume great, this second volume lacked the details that are required to provide an intuition of the working of advanced evolutionary techniques. I feel that "How to solve it" by Michalewicz and Fogel and "Genetic algorithms + data structures = evolution programs" by Michalewicz both provide this experience useful to implement evolutionary techniques, by not trying to trade-off pages for understandability. I would not recommend this book because it tries to introduce advanced aspects that are too difficult to cover in a single chapter each. If you really want to understand the practice of evolutionary techniques, you need a good intuition of how the various operators and structures work on real problems, just reading a few pages will not do the job.
2 of 34 people found the following review helpful:
5.0 out of 5 stars
IWonderful series!,
By Hao (Philadelphia, PA United States) - See all my reviews
This review is from: Evolutionary Computation 2 - Advanced Algorithms and Operations (Paperback)
Honestly, I did not read it. I look forward to have it. I gave the book five star according my evaluation to the Volume 1 and my respect to David B. Fogel.
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Inside This Book
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First Sentence:
First, we describe how to encode and decode for fitness evaluations. Read the first page Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
free search space, uniform recombination, adaptive penalty functions, evolving subpopulations, crowding methods, mutation step size, infeasible individuals, cultural algorithms, dedicated hardware systems, adapting operator probabilities, niching methods, repaired version, recombination operators, convergence velocity, operator variants, computational leverage, arithmetical crossover, fitness interaction, optimal mutation rates, strategy parameters, epoch length, proportional selection, isolated evolution, distributional bias, mating restriction Key Phrases - Capitalized Phrases (CAPs): (learn more)
Morgan Kaufmann, San Mateo, San Diego, Lecture Notes, New York, University of Michigan, Artificial Life, World Scientific, Technical Report, Dissertation Abstracts, Evolutionarv Computation, University of Alabama, University of Illinois, Van Nostrand Reinhold, Zbigniew Michalewicz, Ann Arbor, Int Conf, Kozieland Michalewicz, Monte Carlo, References Angeline, University of California, Computational Intelligence, Los Altos, Oxford University Press, Elsevier Science New!
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Front Cover | Table of Contents | First Pages | Index | Back Cover | Surprise Me!
First, we describe how to encode and decode for fitness evaluations. Read the first page Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
free search space, uniform recombination, adaptive penalty functions, evolving subpopulations, crowding methods, mutation step size, infeasible individuals, cultural algorithms, dedicated hardware systems, adapting operator probabilities, niching methods, repaired version, recombination operators, convergence velocity, operator variants, computational leverage, arithmetical crossover, fitness interaction, optimal mutation rates, strategy parameters, epoch length, proportional selection, isolated evolution, distributional bias, mating restriction Key Phrases - Capitalized Phrases (CAPs): (learn more)
Morgan Kaufmann, San Mateo, San Diego, Lecture Notes, New York, University of Michigan, Artificial Life, World Scientific, Technical Report, Dissertation Abstracts, Evolutionarv Computation, University of Alabama, University of Illinois, Van Nostrand Reinhold, Zbigniew Michalewicz, Ann Arbor, Int Conf, Kozieland Michalewicz, Monte Carlo, References Angeline, University of California, Computational Intelligence, Los Altos, Oxford University Press, Elsevier Science New!
Books on Related Topics | Concordance | Text Stats Browse Sample Pages:
Front Cover | Table of Contents | First Pages | Index | Back Cover | Surprise Me!
Citations (learn more)
This book cites 37
books:
See all 37 books this book cites
- Genetic Algorithms and Simulated Annealing by Lawrence Davis on 8 pages
- Handbook Of Genetic Algorithms by Lawrence David Davis on 6 pages
- Problem Solving (Brooks/Cole One-Unit Series in Precalculus Mathematics) by Karl J. Smith on 5 pages
- Problem Solving (Teacher Timesavers) by Jill Bennett on 5 pages
- Evolutionary Computation by Kenneth A. de De Jong on 4 pages
See all 37 books this book cites
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