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

  • Anuj Kumar
  • Sangeeta Pant
  • Mangey RamEmail author
  • Shshank Chaube
Original Article

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 

Notes

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Copyright information

© The Society for Reliability Engineering, Quality and Operations Management (SREQOM), India and The Division of Operation and Maintenance, Lulea University of Technology, Sweden 2019

Authors and Affiliations

  1. 1.Department of MathematicsUniversity of Petroleum and Energy StudiesDehradunIndia
  2. 2.Department of Mathematics, Computer Science and EngineeringGraphic Era (Deemed to be University)DehradunIndia

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