"Application of a multi-objective particle article swarm optimization t" by Sangeeta Pant, Anuj Kumar et al.
 

Application of a multi-objective particle article swarm optimization technique to solve reliability optimization problem

Document Type

Conference Article

Publication Title

Proceedings on 2015 1st International Conference on Next Generation Computing Technologies, NGCT 2015

Abstract

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).

First Page

1004

Last Page

1007

DOI

10.1109/NGCT.2015.7375272

Publication Date

1-7-2016

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