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Home > Society and Social Sciences > Psychology > Psychological theory, systems, schools and viewpoints > Genetic Algorithms and their Applications: Proceedings of the Second International Conference on Genetic Algorithms
Genetic Algorithms and their Applications: Proceedings of the Second International Conference on Genetic Algorithms

Genetic Algorithms and their Applications: Proceedings of the Second International Conference on Genetic Algorithms


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About the Book

In this lucid and readable study, Michael Mullet explains the historical importance of a man and a movement whose influence are still felt in the modern world. The pamphlet locates John Calvin in the context of early 16th-century France and then charts his emergence as an influential theologian and civic religious leader in the 'second generation' of reformers following Luther. After exploring the main lines of Calvin's theology, set out in the Institutes, the central section deals with the difficult process by which his authority was imposed on, or accepted by, Geneva. Finally, the long-term impact of John Calvin is evaluated, including the hypothesis that Calvinism has assisted the economic development of Europe.

Table of Contents:
ContentsGenetic Search Theory.D.E. Goldberg, P. Segrest, Finite Markov Chain Analysis of Genetic Algorithms. C.L. Bridges, D.E. Goldberg, An Analysis of Reproduction and Crossover in a Binary-Coded Genetic Algorithm. J.E. Baker, Reducing Bias and Inefficiency in the Selection Algorithm. T.H. Westerdale, Adaptive Search Operators I.Altruism in the Bucket Brigade. I. StadnykSchema Recombination in Pattern Recognition Problems. J.D. Schaffer, A. Morishima, An Adaptive Crossover Distribution Mechanism for Genetic Algorithms. D.E. Goldberg, J. Richardson,Representation Issues.Genetic Algorithms With Sharing for Multimodal Function Optimization. C.G. Shaefer, The ARGOT Strategy: Adaptive Representation Genetic Optimizer Technique. D.E. Goldberg, R.E. Smith, Nonstationary Function Optimization Using Genetic Algorithms With Dominance and Diploidy. H.J. Antonisse, K.S. Keller, Genetic Operators for High-Level Knowledge Representations. A.S. Bickel, R.W. Bickel,Keynote Address.Tree Structured Rules in Genetic Algorithms. J.H. Holland,Adaptive Search Operators II.Genetic Algorithms and Classifier Systems: Foundations and Future Directions. G.E. Liepins, M.R. Hilliard, M. Palmer, M. Morrow, Greedy Genetics. J.Y. Suh, D. Van Gucht, Incorporating Heuristic Information Into Genetic Search. D. Whitley, Using Reproductive Evaluation to Improve Genetic Search and Heuristic Discovery. D.J. Sirag, P.T. Weisser,Connectionism and Parallelism I.Toward a Unified Thermodynamic Genetic Operator. C.P. Dolan, M.G. Dyer, Toward the Evolution of Symbols. D.G. Oosthuizen, SUPERGRAN: A Connectionist Approach to Learning, Integrating, Genetic Algorithms and Graph Induction. G.G. Robertson, Parallel Implementation of Genetic Algorithms in a Classifier System. J.P. Cohoon, S.U. Hegde, W.N. Martin, D. Richards,Parallelism II.Punctuated Equilibria: A Parallel Genetic Algorithm. C.B. Pettey, M.R. Leuze, J.J. Grefenstette, A Parallel Genetic Algorithm. A.V. Sannier, II, E.D. Goodman, Genetic Learning Procedures in Distributed Environments. P. Jog, D. Van Gucht, Parallelisation of Probablistic Sequential Search Algorithms. R. Tanese,Credit Assignment and Learning.Parallel Genetic Algorithms for a Hypercube. R.L. Riolo, Bucket Brigade Performance: I. Long Sequences of Classifiers. R.L. Riolo, Bucket Brigade Performance: II. Default Hierarchies. J.J. Grefenstette, Multilevel Credit Assignment in a Genetic Learning System. K.A. De Jong,Applications I.On Using Genetic Algorithms to Search Program Spaces. D.P. Greene, S.F. Smith, A Genetic System for Learning Models of Consumer Choice. I.M. Oliver, D.J. Smith, J.R.C. Holland, A Study of Permutation Crossover Operators on the Traveling Salesman Problem. M.R. Hilliard, G.E. Liepins, M. Palmer, M. Morrow, J. Richardson, A Classifier Based System for Discovering Scheduling Heuristics. C. Fujiko, J. Dickinson,Applications II.Using the Genetic Algorithm to Generate LISP Source Code to Solve the Prisoner's Dilemma. V.V. Raghavan, B. Agarwal, Optimal Determination of User- Oriented Clusters: An Application for the Reproductive Plan. S.W. Wilson, The Genetic Algorithm and Biological Development. L. Davis, S. Coombs, Genetic Algorithms and Communication Link Speed Design: Theoretical Considerations. S. Coombs, L. Davis, Genetic Algorithms and Communication Link Speed Design: Constraints and Operators.

About the Author :
Grefenstette, John J.


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Product Details
  • ISBN-13: 9781134989874
  • Publisher: Taylor & Francis Ltd
  • Publisher Imprint: Psychology Press Ltd
  • Language: English
  • ISBN-10: 1134989873
  • Publisher Date: 21 Aug 2013
  • Binding: Digital (delivered electronically)
  • Sub Title: Proceedings of the Second International Conference on Genetic Algorithms


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