Extending the Scalability of Linkage Learning Genetic Algorithms: Theory & Practice (Studies in Fuzziness and Soft Computing)

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Extending the Scalability of Linkage Learning Genetic Algorithms: Theory & Practice (Studies in Fuzziness and Soft Computing) ISBN  3540284591 Release Date  14 November 2005 Category  Soft Computing Tags  genetic,   3540284591,   learning,   "genetic algorithm",   genetic algorithm,   "genetic algorithms",   algorithm,   link,   "soft computing",   algorithms,   gene,   This book @Amazon  View Tools Google Search Web flazx.com

Description Genetic algorithms (GAs) are powerful search techniques based on principles of evolution and widely applied to solve problems in many disciplines. However, most GAs employed in practice nowadays are unable to learn genetic linkage and suffer from the linkage problem. The linkage learning genetic algorithm (LLGA) was proposed to tackle the linkage problem with several specially designed mechanisms. While the LLGA performs much better on badly scaled problems than simple GAs, it does not work well on uniformly scaled problems as other competent GAs. Therefore, we need to understand why it is so and need to know how to design a better LLGA or whether there are certain limits of such a linkage learning process. This book aims to gain better understanding of the LLGA in theory and to improve the LLGA's performance in practice. It starts with a survey of the existing genetic linkage learning techniques and describes the steps and approaches taken to tackle the research topics, including using promoters, developing the convergence time model, and adopting subchromosomes. Other books on Soft Computing Knowledge-Based Neurocomputing: A Fuzzy Logic Approach (Studies in Fuzziness and Soft Computing) Granular Computing: At the Junction of Rough Sets and Fuzzy Sets (Studies in Fuzziness and Soft Computing) Towards a New Evolutionary Computation: Advances on Estimation of Distribution Algorithms (Studies in Fuzziness and Soft Computing) Evolvable Machines: Theory & Practice (Studies in Fuzziness and Soft Computing) Innovations in Fuzzy Clustering: Theory and Applications (Studies in Fuzziness and Soft Computing) Mathematics of Uncertainty: Ideas, Methods, Application Problems (Studies in Fuzziness and Soft Computing) Fuzzy Chaotic Systems: Modeling, Control, and Applications (Studies in Fuzziness and Soft Computing) Soft Computing in Ontologies and Semantic Web (Studies in Fuzziness and Soft Computing) Fuzzy Systems Engineering: Theory and Practice (Studies in Fuzziness and Soft Computing) Hierarchical Bayesian Optimization Algorithm: Toward a New Generation of Evolutionary Algorithms (Studies in Fuzziness and Soft Computing) Fundamentals of Statistics with Fuzzy Data (Studies in Fuzziness and Soft Computing) Soft Computing in Web Information Retrieval: Models and Applications (Studies in Fuzziness and Soft Computing) Fuzzy Quantifiers: A Computational Theory (Studies in Fuzziness and Soft Computing) (Studies in Fuzziness and Soft Computing) Rule-Based Evolutionary Online Learning Systems: A Principled Approach to LCS Analysis and Design (Studies in Fuzziness and Soft Computing) Knowledge Mining: Proceedings of the NEMIS 2004 Final Conference (Studies in Fuzziness and Soft Computing)