PERFORMANCE ANALYSIS OF LINKAGE LEARNING TECHNIQUES IN GENETIC ALGORITHMS
نویسندگان
چکیده
منابع مشابه
Performance Analysis of Linkage Learning Techniques in Genetic Algorithms
One variance of Genetic Algorithms is a Linkage Learning Genetic Algorithm (LLGA) enhances the efficiencies of Simple Genetic Algorithm (SGA) while solving NP hard Problems. Discovery of Linkage Learning Technique is an important task in GA. Almost all existing Linkage Learning Techniques follow either random approach or probabilistic approaches. This makes repeated passes over the population t...
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This research work examines and verifies the use of subchromosome representations previously introduced to the linkage learning genetic algorithm (LLGA). The subchromosome representation is utilized for effectively lowering the number of building blocks in order to escape from the performance limit implied by the convergence time model for the linkage learning genetic algorithm. A preliminary i...
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This paper reviews and summarizes existing linkage learning techniques for genetic and evolutionary algorithms in the literature. It first introduces the definition of linkage in both biological systems and genetic algorithms. Then, it discusses the importance for genetic and evolutionary algorithms to be capable of learning linkage, which is referred to as the relationship between decision var...
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This report investigates the use of Linkage Learning in Genetic Algorithms (GAs) to try and determine why it is worthwhile using this technique to improve the power of GAs. This report first introduces GAs and how they go about converging on optimal solutions with comparison to other search algorithms. Then it discusses what linkage learning is and several of the techniques used to perform link...
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Linkage analysis is a well established method for studying the relationship between the pattern of the occurrence of a given biological trait such as a disease and the inheritance pattern of certain genes in a given family. In this paper we give some improved algorithms for the genetic linkage analysis. In particular we offer an MTBDD based version of these algorithms that turns out to be a con...
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ژورنال
عنوان ژورنال: International Journal of Research in Engineering and Technology
سال: 2013
ISSN: 2321-7308,2319-1163
DOI: 10.15623/ijret.2013.0212025