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Proceedings of the Genetic and Evolutionary Computation Conference (GECCO '99)
 
 
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Proceedings of the Genetic and Evolutionary Computation Conference (GECCO '99) [Paperback]

Author Unknown (Author)
5.0 out of 5 stars  See all reviews (3 customer reviews)

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Book Description

August 17, 1999
These proceedings contain the papers presented at the GECCO conference, held in Orlando, Florida, July 13-17, 1999. The 1999 Genetic and Evolutionary Computational Conference (GECCO-99) combined the longest running conferences in evolutionary computation (ICGA) and the world's two largest EC conferences (GP and ICGA) to create a unique opportunity to collect the best in research in this growing field of computer science and engineering.

Product Details

  • Paperback: 1800 pages
  • Publisher: Morgan Kaufmann; 1st edition (August 17, 1999)
  • Language: English
  • ISBN-10: 1558606114
  • ISBN-13: 978-1558606111
  • Product Dimensions: 10.9 x 8.6 x 1.6 inches
  • Shipping Weight: 3.8 pounds (View shipping rates and policies)
  • Average Customer Review: 5.0 out of 5 stars  See all reviews (3 customer reviews)
  • Amazon Best Sellers Rank: #5,300,821 in Books (See Top 100 in Books)

 

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1 of 1 people found the following review helpful:
5.0 out of 5 stars magnificent and fascinating, April 3, 2000
By A Customer
This review is from: Proceedings of the Genetic and Evolutionary Computation Conference (GECCO '99) (Paperback)
"The 1999 Genetic and Evolutionary Computation Conference (GECCO-99) 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 tradition of the GP and ICGA conferences of bringing together researchers from the entire spectrum of research in evolutionary computation, including genetic algorithms, classifier systems, genetic programming, evolvable hardware, DNA and molecular computing, evolutionary strategies, evolutionary programming, artificial life, adaptive behavior, agents, as well as real-world applications of all of these areas." - from the publisher.

The relentless high quality of the many papers in this book make it delightful and thought-provoking. (My copy is 944 pages - not "1876" as Amozon has it.)

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5.0 out of 5 stars Two volumes!, April 17, 2000
By A Customer
This review is from: Proceedings of the Genetic and Evolutionary Computation Conference (GECCO '99) (Paperback)
The proceedings really have 1876 pages, but they are divided into two volumes. The first volume has 944 pages, the remaining pages are in the second volume. Make sure you get the two volumes!
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1 of 2 people found the following review helpful:
5.0 out of 5 stars Two volumes!, April 17, 2000
By A Customer
This review is from: Proceedings of the Genetic and Evolutionary Computation Conference (GECCO '99) (Paperback)
The proceedings really have 1876 pages, but they are divided into two volumes. The first volume has 944 pages, the remaining pages are in the second volume. Make sure you get the two volumes!
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Inside This Book (learn more)
First Sentence:
MultiObjective (MO) optimization extends optimization theory by permitting multiple objectives to be optimized simultaneously. Read the first page
Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
consecutive state problem, probabilistic chromosomes, aliasing states, event prediction problem, selective crossover, phenotype grid, aliased states, credit bias, ring species phenomenon, translocation crossover, complete covering map, depth controlling strategy, flanking sequences length, complete subtours, concatenated trap functions, granularity hypothesis, implicit embryogeny, initialisation bias, members vote correctly, residual location error, local search direction, corporate classifier system, current shout price, multiplicative landscape, outlaw method
Key Phrases - Capitalized Phrases (CAPs): (learn more)
Morgan Kaufmann, New York, Parallel Problem Solving, San Mateo, University of Michigan, John Wiley, San Francisco, Ann Arbor, System Relative Error, Lecture Notes, Morgan Kauffman, Springer Verlag, University of Illinois, Soft Computing, Monte Carlo, Bayesian Dirichlet, Oxford University Press, George Mason University, Carnegie Mellon University, Lawrence Erlbaum, Flip Heuristic, Random Sample Climbing, San Diego, Academic Press, Stanford University
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