Amar Kishor

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This paper considers the allocation of maximum reliability to a complex system, while minimizing the cost of the system, a type of multi-objective optimization problem (MOOP). Multi-objective Evolutionary Algorithms (MOEAs) have been shown in the last few years as powerful techniques to solve MOOP .This paper successfully applies a Nondominated sorting(More)
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(More)
This study investigates the applicability of multi-objective evolutionary algorithm (MOEA), namely the Particle swarm optimization incorporating crowding distance (MOPSO-CD) in solving the reliability optimization problem of a complex system where the two conflicting objectives maximization of system reliability and minimization of system cost are(More)
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