Abstract
Shipping route planning is multi-objective optimization problem. In this article the model of warship course optimization problem is established and a new multi-objective optimization technique using particle swarm optimization based on fitness sharing and online elite archiving is introduced. The new technique can solve not only two objectives problem but also more than two objectives problems. In new technique global best position of particle swarm is selected from repository by fitness sharing, which guarantees the diversity of the population. At the same time, in order to ensure the excellent population, the elite particles from the repository are introduced into next iteration. The results show that our multi-objective particle swarm optimization algorithm generates satisfactory approximation of the Pareto front and solve the shipping route planning effectively.
| Original language | English |
|---|---|
| Pages (from-to) | 150-153 |
| Number of pages | 4 |
| Journal | Journal of Harbin Institute of Technology (New Series) |
| Volume | 14 |
| Issue number | SUPPL. 2 |
| Publication status | Published - Jan 2007 |
Keywords
- Multi-objective optimization problem
- Particle swarm optimization (PSO)
- Shipping route planning