Study on Warship Combat System Design Using DMOPSO Algorithm

Abstract:

A new method for selecting warship combat system during the period of warship alternatives conceptual design was discussed in the paper. After computing the overall measure of performance (OMOE) and overall measure of risk (OMOR) of all combat sub-system using analytic hierarchy process and utility function, the design variables representing this equipment alternatives were selected using discrete particle swarm. Niche technique was used for constructing non-dominated sort set and TOPSIS method was adopted to sort the final pareto solution. The results of selecting equipment alternatives in warship combat system show that DMOPSO (discrete multi-objective particle swarm optimization) can search the overall pareto solution effectively.

• Periodical: Advanced Materials Research (Volumes 482-484)
• Pages: 1963-1968
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.482-484.1963
• Online since: February 2012
• Authors: Wei Ren, Ying Xiong, Hong Mei Xia
• Keywords: Discrete Multi-Objective PSO, Multi-Objective Optimization (MOP), Warship Combat System

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