Extending the Scalability of Linkage Learning Genetic Algorithms
Publication year: 2006
ISBN: 978-3-540-32413-3
Internet Resource: Please Login to download book
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 and classification 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. It also provides the experimental results for observation of the linkage learning process as well as for verification of the theoretical models proposed in this study.
Subject: Engineering, Chromosome Representation, Genetic Algorithms, Genetic Linkage Learning Techniques, Soft Computing, algorithm, algorithms, learning, model
