Comments: Fast Shipping ! Used books may not include access codes, CDs or other supplements.
30-day money back guarantee
Grefenstette, John J.
The articles presented here were selected from preliminary versions presented at the International Conference on Genetic Algorithms in June 1991, as well as at a special Workshop on Genetic Algorithms for Machine Learning at the same Conference. Genetic algorithms are general-purpose search algorithms that use principles inspired by natural population genetics to evolve solutions to problems. The basic idea is to maintain a population of knowledge structure that represent candidate solutions to the problem of interest. The population evolves over time through a process of competition (i.e. survival of the fittest) and controlled variation (i.e. recombination and mutation). Genetic Algorithms for Machine Learning contains articles on three topics that have not been the focus of many previous articles on GAs, namely concept learning from examples, reinforcement learning for control, and theoretical analysis of GAs. It is hoped that this sample will serve to broaden the acquaintance of the general machine learning community with the major areas of work on GAs. The articles in this book address a number of central issues in applying GAs to machine learning problems. For example, the choice of appropriate representation and the corresponding set of genetic learning operators is an important set of decisions facing a user of a genetic algorithm. The study of genetic algorithms is proceeding at a robust pace. If experimental progress and theoretical understanding continue to evolve as expected, genetic algorithms will continue to provide a distinctive approach to machine learning. Genetic Algorithms for Machine Learning is an edited volume of original research made up of invited contributions by leading researchers.Grefenstette, John J. is the author of 'Genetic Algorithms for Machine Learning' with ISBN 9780792394075 and ISBN 0792394070.
With our dedicated customer support team, 30-day no-questions-asked return policy, and our price match guarantee, you can rest easy knowing that we're doing everything we can to save you time, money, and stress.
Book condition guidelines
New (perfect condition)
Pages are clean and are not marked by notes, highlighting or fold.
Like new (excellent condition)
Pages are clean and are not marked by notes, highlighting or folds.
Very good (good condition)
Pages are intact and may have minimal notes and/or highlighting or folds.
Good (clean condition)
All pages and the cover is intact. The spine may show signs of wear. Pages include notes and/or highlighting.
Acceptable (readable condition)
All pages and the cover is intact. Pages include considerable notes in pen or highlighter, but the text is not obscured.
How do rentals work?
Save up to 90% on the largest selection of textbook rentals in the business. We have the lowest prices - guaranteed.
Choose between standard or expedited shipping to make sure that your textbooks arrive in time for class.
Return for free!
When your books are due, just pack them up and ship them back. And don't worry about shipping - it's absolutely free!