{"product_id":"9780792394075","title":"Genetic Algorithms for Machine Learning","description":"\u003ch1\u003eGenetic Algorithms for Machine Learning\u003c\/h1\u003e \u003ch2\u003eGrefenstette, John J.\u003c\/h2\u003e \u003cp\u003eThe 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. \u003cbr\u003e  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). \u003cbr\u003e  \u003cem\u003eGenetic Algorithms for Machine Learning\u003c\/em\u003e 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.  \u003cbr\u003e  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.\u003cbr\u003e  \u003cem\u003eGenetic Algorithms for Machine Learning\u003c\/em\u003e is an edited volume of  original research made up of invited contributions by leading  researchers. \u003cbr\u003e\u003c\/p\u003e \u003ch3\u003eDetails\u003c\/h3\u003e \u003cp\u003ePublished by: Springer\u003c\/p\u003e \u003cp\u003ePublication Date: 1993-11-30\u003c\/p\u003e \u003cp\u003eFormat: Hardcover\u003c\/p\u003e \u003cp\u003eISBN-13: 9780792394075\u003c\/p\u003e \u003cp\u003eDOI: 10.1007\/978-1-4615-2740-4\u003c\/p\u003e \u003cp\u003eDimensions: 235cm x155cm\u003c\/p\u003e \u003cp\u003ePages: 165\u003c\/p\u003e ","brand":"Springer US","offers":[{"title":"Default Title","offer_id":44398718845068,"sku":"9780792394075","price":152.99,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0710\/9545\/1788\/files\/9780792394075.jpg?v=1775013450","url":"https:\/\/fh90cf-fv.myshopify.com\/products\/9780792394075","provider":"Late Knight Books and Services, LLC","version":"1.0","type":"link"}