Evolutionary Algorithm-based Approach for Multi-Objective Optimization of a Complex Reliability System
Keywords:Reliability, cost, multi-objective optimization problem (MOOP), evolutionary algorithm, pareto optimal fronts (POFs), particle swarm optimization incorporating crowding distance (MOPSO-CD)
Dealing with the conflicting objectives in reliability analysis of complex engineering systems is always a challenging task. Here, we have taken two conflicting objectives namely reducing cost and increasing the reliability of a complex reliability system named life support system in space capsule (LS3C) into consideration. A novel multi-objective evolutionary algorithm named MOPSO-CD has been employed to get various Pareto Optimal Fronts (POFs) in accordance with different parameter tuning. The simulation results so obtained provide a wide range of varieties of POFs to decision maker (DM).
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