Computer solutions to many difficult problems in science and engineering require the use of automatic search methods that consider a large number of possible solutions to the given problems. This book describes recent advances in the theory and practice of one such search method, called Genetic Algorithms. Genetic algorithms are evolutionary search techniques based on principles derived from natural population genetics, and are currently being applied to a variety of difficult problems in science, engineering, and artificial intelligence. First Published in 1985. Routledge is an imprint of Taylor & Francis, an informa company.…mehr
Computer solutions to many difficult problems in science and engineering require the use of automatic search methods that consider a large number of possible solutions to the given problems. This book describes recent advances in the theory and practice of one such search method, called Genetic Algorithms. Genetic algorithms are evolutionary search techniques based on principles derived from natural population genetics, and are currently being applied to a variety of difficult problems in science, engineering, and artificial intelligence.First Published in 1985. Routledge is an imprint of Taylor & Francis, an informa company.
Contents: J.H. Holland Properties of the Bucket Brigade. D.E. Goldberg Genetic Algorithms and Rules Learning in Dynamic System Control. S.W. Wilson Knowledge Growth in an Artificial Animal. S. Forrest Implementing Semantic Network Structures Using the Classifier System. T.H. Westerdale The Bucket Brigade is Not Genetic. L.A. Rendell Genetic Plans and the Probabilistic Learning System: Synthesis and Results. J.D. Schaffer Learning Multiclass Pattern Discrimination. L.B. Booker Improving the Performance of Genetic Algorithms in Classifier Systems. J.D. Schaffer Multiple Objective Optimization With Vector Evaluated Genetic Algorithms. J.E. Baker Adaptive Selection Methods for Genetic Algorithms. J.J. Grefenstette J.M. Fitzpatrick Genetic Search With Approximate Function Evaluation. D.H. Ackley A Connectionist Algorithm for Genetic Search. L. Davis Job Shop Scheduling With Genetic Algorithms. M.P. Fourman Compaction of Symbolic Layout Using Genetic Algorithms. D.E. Goldberg R. Lingle Jr. Alleles Loci and the Traveling Salesman Problem. J.J. Grefenstette R. Gopal B.J. Rosmaita D. Van Gucht Genetic Algorithms for the Traveling Salesman Problem. K.A. De Jong Genetic Algorithms: A 10 Year Perspective. H. Zhou Classifier Systems With Long Term Memory. N.L. Cramer A Representation for the Adaptive Generation of Simple Sequential Programs. S.W. Wilson Adaptive `Cortical' Pattern Recognition. A.C. Englander Machine Learning of Visual Recognition Using Genetic Algorithms. D. Smith Bin Packing With Adaptive Search. C.G. Shaefer Directed Trees Method for Fitting a Potential Function.
Contents: J.H. Holland Properties of the Bucket Brigade. D.E. Goldberg Genetic Algorithms and Rules Learning in Dynamic System Control. S.W. Wilson Knowledge Growth in an Artificial Animal. S. Forrest Implementing Semantic Network Structures Using the Classifier System. T.H. Westerdale The Bucket Brigade is Not Genetic. L.A. Rendell Genetic Plans and the Probabilistic Learning System: Synthesis and Results. J.D. Schaffer Learning Multiclass Pattern Discrimination. L.B. Booker Improving the Performance of Genetic Algorithms in Classifier Systems. J.D. Schaffer Multiple Objective Optimization With Vector Evaluated Genetic Algorithms. J.E. Baker Adaptive Selection Methods for Genetic Algorithms. J.J. Grefenstette J.M. Fitzpatrick Genetic Search With Approximate Function Evaluation. D.H. Ackley A Connectionist Algorithm for Genetic Search. L. Davis Job Shop Scheduling With Genetic Algorithms. M.P. Fourman Compaction of Symbolic Layout Using Genetic Algorithms. D.E. Goldberg R. Lingle Jr. Alleles Loci and the Traveling Salesman Problem. J.J. Grefenstette R. Gopal B.J. Rosmaita D. Van Gucht Genetic Algorithms for the Traveling Salesman Problem. K.A. De Jong Genetic Algorithms: A 10 Year Perspective. H. Zhou Classifier Systems With Long Term Memory. N.L. Cramer A Representation for the Adaptive Generation of Simple Sequential Programs. S.W. Wilson Adaptive `Cortical' Pattern Recognition. A.C. Englander Machine Learning of Visual Recognition Using Genetic Algorithms. D. Smith Bin Packing With Adaptive Search. C.G. Shaefer Directed Trees Method for Fitting a Potential Function.
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