Title :
The Research on the Matching Design of the Ship-Engine-Propeller Based on Multi-Objective Particle Swarm Optimization
Author :
Liu Aihua ; Fan Shidong
Author_Institution :
Sch. of Energy & Power Eng., Wuhan Univ. of Technol., Wuhan, China
Abstract :
The matching design problem of the ship-engine-propeller is a non-linear constrained multi-objective optimization problem which is performed based on multiple objectives,such as system efficiency and the life cycle cost. A multi-objective particle swarm optimization (MOPSO) approach for matching design problem of the ship-engine-propeller problem is presented in this paper.A real matching design problem of the ship-engine-propeller is employed to demonstrate applicability of the proposed approach.The results indicate that multi-objective particle swarm optimization approach in comparison with most of multi-objective optimization algorithms such as the multiple objective genetic algorithm (MOGA) is simple ,efficient and operable.
Keywords :
design engineering; particle swarm optimisation; propellers; shipbuilding industry; ships; matching design problem; multiobjective particle swarm optimization; propeller; ship engine; Algorithm design and analysis; Constraint optimization; Cost function; Design optimization; Engines; Fuels; Marine vehicles; Particle swarm optimization; Power engineering and energy; Propellers;
Conference_Titel :
Intelligent Systems and Applications (ISA), 2010 2nd International Workshop on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-5872-1
Electronic_ISBN :
978-1-4244-5874-5
DOI :
10.1109/IWISA.2010.5473726