Cui, Hao and Turan, O. (2010) Application of a new multi-agent Hybrid Co-evolution based Particle Swarm Optimisation methodology in ship design. Computer-Aided Design, 42 (11). 1013–1027.
Download (1MB) | Preview
In this paper, a multiple objective 'Hybrid Co-evolution based Particle Swarm Optimisation' methodology (HCPSO) is proposed. This methodology is able to handle multiple objective optimisation problems in the area of ship design, where the simultaneous optimisation of several conflicting objectives is considered. The proposed method is a hybrid technique that merges the features of co-evolution and Nash equilibrium with a ε-disturbance technique to eliminate the stagnation. The method also offers a way to identify an efficient set of Pareto (conflicting) designs and to select a preferred solution amongst these designs. The combination of co-evolution approach and Nash-optima contributes to HCPSO by utilising faster search and evolution characteristics. The design search is performed within a multi-agent design framework to facilitate distributed synchronous cooperation. The most widely used test functions from the formal literature of multiple objectives optimisation are utilised to test the HCPSO. In addition, a real case study, the internal subdivision problem of a ROPAX vessel, is provided to exemplify the applicability of the developed method.
|Keywords:||Optimisation, particle swarm optimisation, ship design, multi-agent, ε-disturbance, Naval architecture. Shipbuilding. Marine engineering, Computer Graphics and Computer-Aided Design, Industrial and Manufacturing Engineering, Computer Science Applications|
|Subjects:||Naval Science > Naval architecture. Shipbuilding. Marine engineering|
|Department:||Faculty of Engineering > Naval Architecture and Marine Engineering|
|Depositing user:||Mrs Thelma Will|
|Date Deposited:||17 Dec 2009 15:10|
|Last modified:||16 Oct 2015 18:43|
Actions (login required)