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Study on Genetic Algorithm Concepts, Search AndOptimization Techniques in Electrical Systems

S. Sakunthala*

*Lecturer and Research Scholar, Department of Electrical and Electronics Engineering, Jawaharlal Nehru Technological University, Ananthapuramu, Andhra Pradesh, India.

Periodicity:January - March'2017
DOI : https://doi.org/10.26634/jee.10.3.13413

Abstract

Genetic Algorithms (GAs) are a module of evolutionary computing, which is a rapidly developing domain of artificial intelligence. These algorithms are inventive by Darwin's theory about Darwinism. Naturally said, solution to a problem solved by GAs is evolved. In order to find an effective way to use GA widely, the basic knowledge of GA was introduced. After the introduction of its development, characteristic and application, the trends of its modification and application were analyzed. This algorithm is a optimization and search method for simulating natural choosing and genetics. This paper gives a brief introduction to genetic algorithms, its operators, and encoding techniques. This study has significance in theory of GA.

Keywords

Evalutionary Algorithm, Genetic Algorithm, Multi-optimization, Chromosome, Selection, Mutation.

How to Cite this Article?

Sakunthala, S. (2017). Study On Genetic Algorithm Concepts, Search and Optimization Techniques in Electrical Systems. i-manager’s Journal on Electrical Engineering, 10(3), 43-48. https://doi.org/10.26634/jee.10.3.13413

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Study on Genetic Algorithm Concepts, Search AndOptimization Techniques in Electrical Systems

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