Abstract

This paper deals with one of the well-studied research problem known as reliability redundancy allocation problem (RRAP). RRAP is finds an optimal balance in selecting reliability of the components and the number of redundant components considering the effect of cost, weight, and volume on the overall system as constraints. Reliability is a very crucial issue in every engineering application. In this paper, our study aims to find the optimal layout for RRAP using brain storm optimization algorithm in objective space (BSO-OS). BSO is inspired by human cognitive skills. The convergent and divergent operation to reduce the search space and diversification of population are the prime objective in BSO. Results are compared by solving the RRAP with the self-organizing migrating algorithm (SOMA) and the genetic algorithm (GA). It is found that BSO-OS outperform others in terms of time complexity providing similar results.

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