A Particle Swarm Algorithm for Optimization of Complex System Reliability
Volume 11, Number 1, January 2015 - Paper 4 - pp. 33-42
SANGEETA PANT1, DHIRAJ ANAND2 and AMAR KISHOR3, SURAJ BHAN SINGH41 Department of Mathematics, University of Petroleum and Energy Studies, Dehradun, INDIA: 248007
2 Department of Electrical and Electronics, GEU, Dehradun, INDIA: 248002
3 Department of Electronics and Communication Sciences Unit, Indian Statistical Institute Kolkata , INDIA: 700108.
4 Department of Mathematics, Statistics and Computer Science, G.B.Pant University of Agriculture and Technology, Pantnagar, INDIA: 236145
(Received on January 28, 2014, revised on May 28, June 07 and July 26, 2014)
In recent years, a broad class of stochastic metaheuristics, such as Tabu search, simulated annealing, genetic algorithm, particle swarm optimization, ant colony optimization etc. has been applied for reliability optimization problems. In this paper a particle swarm optimization algorithm is presented. Then, the performance of the proposed algorithm is tested on some complex engineering optimization problems. They are three well-known complex reliability optimization problems. Finally, the results are compared with those given by several well-known methods. Numerical experiments demonstrate that the proposed method is promising and the results obtained by proposed algorithm are either superior or comparable to the previously best known results presented in literature for reliability optimization of complex systems in terms of computation time as well as solution quality.
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