Application of A Multi-Objective Particle Article Swarm Optimization Technique to Solve Reliability Optimization Problem

作者：Pant Sangeeta^*; Kumar Anuj; Kishor Amar; Anand Dhiraj; Singh Suraj

来源：1st International Conference on Next Generation Computing Technologies (NGCT), 2015-09-04 to 2015-09-05.

• Bio-inspired optimization
• Particle swarm optimization
• reliability optimization
• multi-objective optimization

This study investigates the applicability of multi objective evolutionary algorithm (MOEA), namely the Particle swarm optimization incorporating crowding distance (MOPSO-CD) in solving the reliability optimization problem of a complex system where the two conflicting objectives maximization of system reliability and minimization of system cost are considered. The simulation results shows that MOEA used in this paper (MOPSO-CD) is able to generate a well distributed Pareto optimal set in a single run for a decision maker (DM) to choose from. DM could select the most convenient optimal solution according to his/her level of satisfaction in a posterior decision environment. The efficiency of MOPSO-CD in solving this problem is demonstrated by comparing its result with those of simulated annealing (SA), non-equilibrium simulated annealing (NESA) and cellular evolutionary strategies (CES).

• 出版日期2015
• 单位中国石油大学（北京）