Back to Search
Start Over
The Improvement of Hybrid Particle Swarm Algorithm and its Application
- Source :
- Advanced Materials Research. :798-802
- Publication Year :
- 2011
- Publisher :
- Trans Tech Publications, Ltd., 2011.
-
Abstract
- Hybrid multi-objective particle swarm algorithm is applied to vehicle routing problem and achieved good results, this paper based on the previous work, dynamic inertia weight is added to the particle swarm algorithm with intelligence factors, it improved the global search ability and the capacity of local convergence of the particle swarm algorithm; and the idea of immunity is introduced in the algorithm ,which makes the hybrid multi-objective particle swarm algorithm can effectively discard the repeated solutions in solving vehicle routing problems, this operation can improve the efficiency of the algorithm, and obtain better results under the same conditions.
- Subjects :
- Mathematical optimization
media_common.quotation_subject
ComputingMethodologies_MISCELLANEOUS
General Engineering
Particle swarm optimization
Paper based
Inertia
Local convergence
Computer Science::Robotics
Particle swarm algorithm
Vehicle routing problem
Firefly algorithm
Multi-swarm optimization
Mathematics
media_common
Subjects
Details
- ISSN :
- 16628985
- Database :
- OpenAIRE
- Journal :
- Advanced Materials Research
- Accession number :
- edsair.doi...........1d29dda2f11dc0551a87e426c2e525c5