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Author : Éric Pellerin
Publisher :
ISBN 13 :
Total Pages : 372 pages
Book Rating : 4.:/5 (154 download)
Download or read book Méta-apprentissage des algorithmes génétiques written by Éric Pellerin and published by . This book was released on 2005 with total page 372 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : David Edward Goldberg
Publisher : Addison Wesley France
ISBN 13 : 9782879080543
Total Pages : 417 pages
Book Rating : 4.0/5 (85 download)
Download or read book Algorithmes génétiques written by David Edward Goldberg and published by Addison Wesley France. This book was released on 1994 with total page 417 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Pierre Bonelli
Publisher :
ISBN 13 :
Total Pages : 0 pages
Book Rating : 4.:/5 (494 download)
Download or read book Apprentissage par algorithmes genetiques written by Pierre Bonelli and published by . This book was released on 1993 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Gilles Venturini
Publisher :
ISBN 13 :
Total Pages : 264 pages
Book Rating : 4.:/5 (49 download)
Download or read book APPRENTISSAGE ADAPTATIF ET APPRENTISSAGE SUPERVISE PAR ALGORITHME GENETIQUE written by Gilles Venturini and published by . This book was released on 1994 with total page 264 pages. Available in PDF, EPUB and Kindle. Book excerpt: DANS CETTE THESE, NOUS NOUS SOMMES INTERESSES D'UNE PART A UN PROBLEME DE CONTROLE EN ROBOTIQUE ET EN AUTOMATIQUE CARACTERISE PAR DES VARIATIONS IMPREVUES DANS LES MODELES DU ROBOT ET DE SON ENVIRONNEMENT, ET D'AUTRE PART A UN PROBLEME D'APPRENTISSAGE DE REGLES A PARTIR D'UNE BASE D'EXEMPLES COMPORTANT DE NOMBREUSES VALEURS INCONNUES. POUR CES DEUX PROBLEMES, NOUS AVONS UTILISE LES ALGORITHMES GENERIQUES, QUI SONT DES PROCEDURES D'OPTIMISATION INSPIREES DE LA SELECTION NATURELLE, EN ESSAYANT DE LES RENDRE PLUS CONTROLABLES DE MANIERE A TRAITER DES CONNAISSANCES DU DOMAINE. LE PREMIER ALGORITHME ELABORE (AGIL) EST UNE EXTENSION DES SYSTEMES DE REGLES GENETIQUES QUI APPREND DES REGLES DE CONTROLE ET ADAPTE CES REGLES AUX VARIATIONS DU SYSTEME A CONTROLER. IL A ETE TESTE SUR DES PROBLEMES SIMULES. LE DEUXIEME ALGORITHME (SIA) S'INSPIRE DES PRINCIPES DE L'ALGORITHME AQ MAIS EN UTILISANT UN ALGORITHME GENETIQUE COMME MECANISME DE RECHERCHE. IL TRAITE LES VALEURS INCONNUES SANS ESSAYER DE LES REMPLACER. IL A ETE TESTE SUR PLUSIEURS BASES DE DONNEES ET A ETE APPLIQUE A L'ANALYSE D'UN DOMAINE JUDICIAIRE. CES DEUX ALGORITHMES UTILISENT DES HEURISTIQUES EXPLICITES ET PEUVENT TRAITER DIFFERENTS TYPES DE CONNAISSANCES DU DOMAINE
Author : John J. Grefenstette
Publisher : Springer Science & Business Media
ISBN 13 : 1461527406
Total Pages : 167 pages
Book Rating : 4.4/5 (615 download)
Download or read book Genetic Algorithms for Machine Learning written by John J. Grefenstette and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 167 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Author : Oliver Kramer
Publisher : Springer
ISBN 13 : 331952156X
Total Pages : 94 pages
Book Rating : 4.3/5 (195 download)
Download or read book Genetic Algorithm Essentials written by Oliver Kramer and published by Springer. This book was released on 2017-01-07 with total page 94 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book introduces readers to genetic algorithms (GAs) with an emphasis on making the concepts, algorithms, and applications discussed as easy to understand as possible. Further, it avoids a great deal of formalisms and thus opens the subject to a broader audience in comparison to manuscripts overloaded by notations and equations. The book is divided into three parts, the first of which provides an introduction to GAs, starting with basic concepts like evolutionary operators and continuing with an overview of strategies for tuning and controlling parameters. In turn, the second part focuses on solution space variants like multimodal, constrained, and multi-objective solution spaces. Lastly, the third part briefly introduces theoretical tools for GAs, the intersections and hybridizations with machine learning, and highlights selected promising applications.
Author : John J. Grefenstette
Publisher : Psychology Press
ISBN 13 : 1134989733
Total Pages : 269 pages
Book Rating : 4.1/5 (349 download)
Download or read book Genetic Algorithms and their Applications written by John J. Grefenstette and published by Psychology Press. This book was released on 2013-08-21 with total page 269 pages. Available in PDF, EPUB and Kindle. Book excerpt: First Published in 1987. This is the collected proceedings of the second International Conference on Genetic Algorithms held at the Massachusetts Institute of Technology, Cambridge, MA on the 28th to the 31st July 1987. With papers on Genetic search theory, Adaptive search operators, representation issues, connectionism and parallelism, credit assignment ad learning, and applications.
Author : Johann Dréo
Publisher : Springer Science & Business Media
ISBN 13 : 354023022X
Total Pages : 373 pages
Book Rating : 4.5/5 (42 download)
Download or read book Metaheuristics for Hard Optimization written by Johann Dréo and published by Springer Science & Business Media. This book was released on 2006 with total page 373 pages. Available in PDF, EPUB and Kindle. Book excerpt: Contains case studies from engineering and operations research Includes commented literature for each chapter
Author : Olivier Pinchard (mathématicien)
Publisher :
ISBN 13 :
Total Pages : 161 pages
Book Rating : 4.:/5 (494 download)
Download or read book Algorithmes génétiques et apprentissage pour la planification de mouvements et la navigation de robots mobiles written by Olivier Pinchard (mathématicien) and published by . This book was released on 1996 with total page 161 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Olivier Pinchard (mathématicien).)
Publisher :
ISBN 13 :
Total Pages : pages
Book Rating : 4.:/5 (494 download)
Download or read book Algorithmes genetiques et apprentissage pour la planification de mouvements et la navigation de robots mobiles written by Olivier Pinchard (mathématicien).) and published by . This book was released on 1996 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : David Edward Goldberg
Publisher : Addison-Wesley Professional
ISBN 13 :
Total Pages : 436 pages
Book Rating : 4.3/5 (91 download)
Download or read book Genetic Algorithms in Search, Optimization, and Machine Learning written by David Edward Goldberg and published by Addison-Wesley Professional. This book was released on 1989 with total page 436 pages. Available in PDF, EPUB and Kindle. Book excerpt: A gentle introduction to genetic algorithms. Genetic algorithms revisited: mathematical foundations. Computer implementation of a genetic algorithm. Some applications of genetic algorithms. Advanced operators and techniques in genetic search. Introduction to genetics-based machine learning. Applications of genetics-based machine learning. A look back, a glance ahead. A review of combinatorics and elementary probability. Pascal with random number generation for fortran, basic, and cobol programmers. A simple genetic algorithm (SGA) in pascal. A simple classifier system(SCS) in pascal. Partition coefficient transforms for problem-coding analysis.
Author : Dana Vrajitoru
Publisher :
ISBN 13 :
Total Pages : 68 pages
Book Rating : 4.:/5 (842 download)
Download or read book Apprentissage par algorithme génétique dans la recherche d'informations written by Dana Vrajitoru and published by . This book was released on 1996 with total page 68 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : David E. Goldberg
Publisher : Pearson Education India
ISBN 13 : 9788177588293
Total Pages : 432 pages
Book Rating : 4.5/5 (882 download)
Download or read book Genetic Algorithms written by David E. Goldberg and published by Pearson Education India. This book was released on 2013-02 with total page 432 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book, suitable for both course work and self-study, brings together for the first time, in an informal, tutorial fashion, the computer techniques, mathematical tools, and research results that will enable both students and practitioners to apply genetic algorithms to problems in many fields: programmers, scientists, engineers, mathematicians, statisticians and management scientists will all find interesting possibilities here. Major concepts are illustrated with running examples, and major algorithms are illustrated by Pascal computer programs. Chapter concludes with exercises and computer assignments. No prior knowledge of Gas or genetics is assumed.
Author : MANUEL.. CLERGUE
Publisher :
ISBN 13 :
Total Pages : 189 pages
Book Rating : 4.:/5 (49 download)
Download or read book DYNAMIQUE DES POPULATIONS ET POLYMORPHISME DANS LES ALGORITHMES GENETIQUES written by MANUEL.. CLERGUE and published by . This book was released on 1999 with total page 189 pages. Available in PDF, EPUB and Kindle. Book excerpt: L'EVOLUTION ARTIFICIELLE, CETTE JEUNE DISCIPLINE DONT LES PREMISSES REMONTENT A LA CYBERNETIQUE DES ANNEES CINQUANTES, S'INSCRIT DANS LE DOMAINE PLUS LARGE DE L'INTELLIGENCE ARTIFICIELLE. ET C'EST BIEN DANS L'OPTIQUE DES SYSTEMES ADAPTATIFS QUE LES ALGORITHMES GENETIQUES ONT ETE DEVELOPPE VOILA VINGT-CINQ ANS PAR LE PROFESSEUR JOHN HOLLAND. LEURS UTILISATIONS TANT POUR L'OPTIMISATION DE FONCTION QUE POUR L'APPRENTISSAGE EN TEMOIGNENT. LES TRAVAUX PRESENTES DANS CE MEMOIRE S'ARTICULENT AUTOUR DE DEUX CONCEPTS CLES : LES COMPORTEMENTS DYNAMIQUES DES POPULATIONS ET LE POLYMORPHISME. L'ETUDE DES ASPECTS DYNAMIQUES EST INCONTOURNABLE SI ON S'INTERESSE AUX ALGORITHMES GENETIQUES EN TANT QUE SYSTEMES ADAPTATIFS. LE POLYMORPHISME EST LIE A CE QUI FAIT LEUR SPECIFICITE : LA MANIPULATION D'UNE POPULATION. NOTRE CONTRIBUTION REPOSE SUR UNE ARCHITECTURE DUALE BASEE SUR L'INTRODUCTION D'UN NIVEAU META DANS L'INTERPRETATION DES INDIVIDUS : CECI PERMET DE REVISITER LA DYNAMIQUE DES POPULATIONS ET LE POLYMORPHISME. LE MAINTIEN DE POPULATIONS STABLES ET POLYMORPHES DANS LE CADRE DE L'OPTIMISATION MULTICRITERE ; L'OBTENTION DE COMPORTEMENTS DYNAMIQUES RICHES ET COMPLEXES DANS LE CADRE DU MODELE MINIMAL DES COMPORTEMENTS DES ALGORITHMES GENETIQUES DUAUX, EN SONT DES EXEMPLES. CES TRAVAUX CONSTITUENT DONC UNE CONTRIBUTION A L'ETUDE DES ALGORITHMES GENETIQUES COMME SYSTEMES ADAPTATIFS POTENTIELLEMENT COMPLEXES.
Author : Maury E. Johnson
Publisher :
ISBN 13 :
Total Pages : 250 pages
Book Rating : 4.:/5 (426 download)
Download or read book Planning Genetic Algorithm written by Maury E. Johnson and published by . This book was released on 1999 with total page 250 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Michio Kaku
Publisher : Anchor
ISBN 13 : 0307473341
Total Pages : 402 pages
Book Rating : 4.3/5 (74 download)
Download or read book The Future of the Mind written by Michio Kaku and published by Anchor. This book was released on 2015-02-17 with total page 402 pages. Available in PDF, EPUB and Kindle. Book excerpt: Michio Kaku, the New York Times bestselling author of Physics of the Impossible and Physics of the Future tackles the most fascinating and complex object in the known universe: the human brain. The Future of the Mind brings a topic that once belonged solely to the province of science fiction into a startling new reality. This scientific tour de force unveils the astonishing research being done in top laboratories around the world—all based on the latest advancements in neuroscience and physics—including recent experiments in telepathy, mind control, avatars, telekinesis, and recording memories and dreams. The Future of the Mind is an extraordinary, mind-boggling exploration of the frontiers of neuroscience. Dr. Kaku looks toward the day when we may achieve the ability to upload the human brain to a computer, neuron for neuron; project thoughts and emotions around the world on a brain-net; take a “smart pill” to enhance cognition; send our consciousness across the universe; and push the very limits of immortality.
Author : Pierre Liardet
Publisher : Springer Science & Business Media
ISBN 13 : 3540215239
Total Pages : 398 pages
Book Rating : 4.5/5 (42 download)
Download or read book Artificial Evolution written by Pierre Liardet and published by Springer Science & Business Media. This book was released on 2004-04-08 with total page 398 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the thoroughly refereed post-proceedings of the 6th International Conference on Artificial Evolution, EA 2003, held in Marseilles, France in October 2003. The 32 revised full papers presented were carefully selected and improved during two rounds of reviewing and revision. The papers are organized in topical sections on theoretical issues, algorithmic issues, applications, implementation issues, genetic programming, coevolution and agent systems, artificial life, and cellular automata.
