{"product_id":"estimation-of-distribution-algorithms-a-new-tool-for-evolutionary-computation-von-pedro-larranaga-jose-a-lozano-hrsg","title":"Estimation of Distribution Algorithms","description":"\n                                \n                \u003cem\u003eEstimation of Distribution Algorithms: A New Tool for  Evolutionary\u003c\/em\u003e\n                                 \n                \n                \u003cem\u003eComputation\u003c\/em\u003e\n                                 is devoted to a new paradigm for  evolutionary computation, named estimation of distribution algorithms  (EDAs). This new class of algorithms generalizes genetic algorithms by  replacing the crossover and mutation operators with learning and  sampling from the probability distribution of the best individuals of  the population at each iteration of the algorithm. Working in such a  way, the relationships between the variables involved in the problem  domain are explicitly and effectively captured and exploited. \n                \n                \u003cbr\u003e\n                                  This text constitutes the first compilation and review of the  techniques and applications of this new tool for performing  evolutionary computation. \n                \n                \u003cem\u003eEstimation of Distribution Algorithms: A  New\u003c\/em\u003e\n                                 \n                \n                \u003cem\u003eTool for Evolutionary Computation\u003c\/em\u003e\n                                 is clearly divided into  three parts. Part I is dedicated to the foundations of EDAs. In this  part, after introducing some probabilistic graphical models -  Bayesian and Gaussian networks - a review of existing EDA  approaches is presented, as well as some new methods based on more  flexible probabilistic graphical models. A mathematical modeling of  discrete EDAs is also presented. Part II covers several applications  of EDAs in some classical optimization problems: the travelling  salesman problem, the job scheduling problem, and the knapsack  problem. EDAs are also applied to the optimization of some well-known  combinatorial and continuous functions. Part III presents the  application of EDAs to solve some problems that arise in the machine  learning field: feature subset selection, feature weighting in  K-NN classifiers, rule induction, partial abductive inference  in Bayesian networks, partitional clustering, and the search for  optimal weights in artificial neural networks. \n                \n                \u003cbr\u003e\n                                  \n                \n                \u003cem\u003eEstimation of Distribution Algorithms: A New Tool for  Evolutionary\u003c\/em\u003e\n                                 \n                \n                \u003cem\u003eComputation\u003c\/em\u003e\n                                 is a useful and interesting tool for  researchers working in the field of evolutionary computation and for  engineers who face real-world optimization problems. This book may  also be used by graduate students and researchers in computer science.  \n                \n                \u003cbr\u003e\n                                  `\n                \n                \u003cem\u003e... I urge those who are interested in EDAs to study this\u003c\/em\u003e\n                                  \n                \n                \u003cem\u003ewell-crafted book today.'\u003c\/em\u003e\n                                 David E. Goldberg, University of  Illinois Champaign-Urbana.\n            \n            \u003cdiv class=\"aw-variant-hidden-subtitle-div\" id=\"aw-variant-subtitle-9781461356042\"\u003e\u003ch3\u003eA New Tool for Evolutionary Computation\u003c\/h3\u003e\u003c\/div\u003e\u003cdiv class=\"aw-variant-hidden-subtitle-div\" id=\"aw-variant-subtitle-9780792374664\"\u003e\u003ch3\u003eA New Tool for Evolutionary Computation\u003c\/h3\u003e\u003c\/div\u003e","brand":"Libri","offers":[{"title":"Softcover - 9781461356042","offer_id":39415685316701,"sku":"9781461356042","price":213.99,"currency_code":"EUR","in_stock":true},{"title":"Hardcover - 9780792374664","offer_id":51412341574,"sku":"9780792374664","price":213.99,"currency_code":"EUR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0940\/0622\/files\/d5b4d437-070c-47b1-a762-fc739edf1bed.jpg?v=1765948493","url":"https:\/\/shop.autorenwelt.de\/en\/products\/estimation-of-distribution-algorithms-a-new-tool-for-evolutionary-computation-von-pedro-larranaga-jose-a-lozano-hrsg","provider":"Autorenwelt Shop","version":"1.0","type":"link"}