Multi-objective grey wolf optimizer approach to the reliability-cost optimization of life support system in space capsule

Anuj Kumar (), Sangeeta Pant (), Mangey Ram () and Shshank Chaube ()
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Anuj Kumar: University of Petroleum and Energy Studies
Sangeeta Pant: University of Petroleum and Energy Studies
Mangey Ram: Graphic Era (Deemed to be University)
Shshank Chaube: University of Petroleum and Energy Studies

International Journal of System Assurance Engineering and Management, 2019, vol. 10, issue 2, No 10, 276-284

Abstract: Abstract The purpose of this paper is to do the reliability-cost optimization of the life support system (LSS) in a space capsule by using a multi-objective gray wolf optimizer algorithm (MOGWO). MOGWO is a population based metaheuristic which mimics the hierarchal & hunting behavior of grey wolves (Canis lupus). An interactive reliability-cost front has been generated by using MOGWO from which decision makers can choose a point of his/her interest. The efficiency of MOGWO in optimizing the reliability-cost of LSS have also been demonstrated by comparing its results with a very popular swarm based optimization technique named multi-objective particle swarm optimization. A framework based upon MOGWO, which is a very new nature inspired metaheuristic, have been presented for reliability-cost optimization of LSS in a space capsule.

Keywords: Multi-objective optimization; Grey wolf optimizer; Reliability optimization; Space capsule (search for similar items in EconPapers)
Date: 2019
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Citations: View citations in EconPapers (5)

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DOI: 10.1007/s13198-019-00781-1

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