i-manager Publications

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

References

[1]. Atef Saleh Othman Al-Mashakbeh, (2009). “Proportional Integral and Derivative Control of brushless DC Motor”. European Journal of Scientific Research, Vol. 35, No. 2, pp. 198-203.

[2]. Belkacem Mahdad, Tarek Bouktir, and Kamel Srairi, (2008). “Optimal power flow of the Algerian Network using Genetic Algorithms/Fuzzy Rules”. Power and Energy Society General Meeting - Conversion and Delivery of Electrical Energy in the 21^st Century, Pittsburgh, PA, pp. 1-8.

[3]. Bhim Singh, B.P Singh, and K. Jain, (2003). “Implementation of DSP Based Digital Speed Controller for Permanent Magnet Brushless dc Motor”. IE(I) Journal-EL, Vol. 84, pp.16-21.

[4]. B. Mrozek, Z. Mrozek, (2000). “Modeling and Fuzzy Control of DC Drive”. In Proceedings of 14^th European Simulation Multiconference, Ghent, pp.186-190.

[5]. Chu-Kuei Tu and Tseng-Hsien Lin, (2000). “Applying Genetic Algorithms on Fuzzy Logic System for Underwater Acoustic Signal Recognition”. Proceedings of the 2000 International Symposium on Underwater Technology, Tokyo, pp. 405-410.

[6]. Ching-Hung Wang, Tzung-Pei Hong, and Shian- Shyong Tseng, (1998). “Integrating Fuzzy Knowledge by Genetic Algorithms”. IEEE Transactions on Evolutionary Computation, Vol. 2, No. 4, pp. 138-149.

[7]. G. Madhusudhana Rao, B.V. Sanker Ram, B. Smapath Kumar and K. Vijay Kumar, (2010). “Speed Control of BLDC Motor using DSP”. International Journal of Engineering Science and Technology, Vol. 2, No. 3, pp.143-147.

[8]. Hyun-Joon Cho, Kwang-Bo Cho, and Bo-Hyeun Wang, (1996). “Automatic rule generation using Genetic Algorithms for Fuzzy-PID hybrid control”. Proceedings of the 1996 IEEE International Symposium on Intelligent Control, Dearborn, MI, pp. 271-276.

[9]. James M. Adams and Kuldip S. Rattan, (2001). “Genetic multi-stage Fuzzy PID controller with a Fuzzy switch”. IEEE Transactions on Systems, Man, and Cybernetics, Tucson, AZ, Vol. 4, pp. 2239-2244.

[10]. K.B. Mohanty, (2001a). “Design of a fuzzy sliding mode controller for a field oriented induction motor drive”. Journal of Systems Society of India-Paritantra, Vol. 6, No. 1, pp. 8-16.

[11]. Mohanty, K.B., (2001b).“Design and comparative study of sliding mode and fuzzy sliding mode controllers for an induction motor drive”. Procc. of 25^th National Systems Conf., Coimbatore, pp. 66-71.

[12]. S.H. Yakhchali and S.H. Ghodsypour, (2008). “A Hybrid Genetic Algorithms for Computing the Float of an Activity in Networks with imprecise Durations” Proceedings of the IEEE International Conference on Fuzzy Systems, Hong Kong, pp.1789-1794..

[13]. W.S. Oh, Y.T. Kim, C.S. Kim, T.S. Kown, and H.J. Kim, (1999). “Speed Control of Induction Motor using Genetic Algorithm based Fuzzy Controller”. Industrial Electronics Society Conference of IEEE, San Jose, CA, Vol. 3, No. 2, pp. 625-629.

[14]. Shimamoto, N., Hiramatsu, A., and Yamasaki, K., (2000). “A dynamic routing control based on a genetic algorithm”. IEEE International Conference on Neural Networks, 1993, San Francisco, CA, Vol. 2, pp. 1123-1128.

If you have access to this article please login to view the article or kindly login to purchase the article

Single Article

	North Americas,UK, Middle East,Europe		India	Rest of world
	USD	EUR	INR	USD-ROW
Online	15	15

ADD TO CART

Options for accessing this content:

If you would like institutional access to this content, please recommend the title to your librarian.
If you already have i-manager's user account: Login above and proceed to purchase the article.
New Users: Please register, then proceed to purchase the article.