Evolutionary Algorithm-based Approach for Multi-Objective Optimization of a Complex Reliability System

Abstract

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).

Building the Fatigue Curve Fuzzy Intervals by the Censored Information and Tomography Images

“…In reliability problems, it is important to have information about the fatigue curves of materials and parts. The fatigue curve shows how many cycles on average a material or part can withstand at a known amplitude of cyclic stresses (see, for example, [1]). In the modern industrial scenario, decision makers have to make decisions to achieve various conflicting goals under conditions of uncertainty.…”