Non-Dominated Sorting Particle Swarm Optimization for Concept Design of Tanker

Abstract:

A study of application for Multi-objective particle swarm optimization algorithm in tanker conceptual design is researched in the paper. The tanker synthesis model with effectiveness and cost as its objective is considered in optimization model. The Pareto solutions are calculated based on Non-dominated Sorting Particle Swarm Optimizer (NSPSO). The example shows that the uniformly distributed Pareto front is obtained by using NSPSO.

• Periodical: Advanced Materials Research (Volumes 538-541)
• Pages: 564-567
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.538-541.564
• Online since: June 2012
• Authors: Wei Ren, Ying Xiong, Shu Long Zhang
• Keywords: Concept Design of Tanker, Non-Dominated Sorting, Particle Swarm Optimization (PSO)

References

[1] Jacqueline Moore and Richard Chapman: Application of particle swarm to multi-objective optimization. (1999)

[2] Carlos A. Coello Coello, Gregorio Toscano Pulido: Handling multiple objectives with particle swarm optimization. IEEE Transactions on Evolutionary Computation, 8(3):256–279, June 2004.

DOI: 10.1109/tevc.2004.826067

[3] Sanaz Mostaghim and J¨urgen Teich: Strategies for finding good local guides in multi-objective particle swarm optimization (MOPSO). In Proceedings of the 2003 IEEE Swarm Intelligence Symposium, (2003)

DOI: 10.1109/sis.2003.1202243

[4] Xiaodong Li: A non-dominated sorting particle swarm optimizer for multi-objective optimization, (2003)

[5] Korin Strome: Virginia Tech Shuttle Tanker. Report in virginia university, (2001)