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Research and Application of Multi-Objective Particle Swarm Optimization Algorithm Based on α-Stable Distribution
- Source :
- Xibei Gongye Daxue Xuebao, Vol 37, Iss 2, Pp 232-241 (2019)
- Publication Year :
- 2019
- Publisher :
- The Northwestern Polytechnical University, 2019.
-
Abstract
- The multi-objective particle swarm optimization algorithm (MOPSO) has been applied and modified for optimal designs in various engineering fields. However, the intimal algorithm is still has the problems of low accuracy and poor diversity of solutions as it is easy to fall into local optimum in the later evolution stage. A new dynamic mutation operator has been established based on the α-stable distribution theory and incorporated with multi-objective particle swarm optimization algorithm(ASMOPSO). By using random Numbers which generated by the α-stable distribution, the population of PSO algorithm was mutated. And this mutate operation increases the diversity of the population. Because the stability coefficient in the ASMOPSO algorithm can change the range and amplitude of the mutation. This operation makes the new algorithm has the ability to balance the calculation accuracy and global optimization. Several benchmark functions test show that the ASMOPSO algorithm has fast global optimization ability. The proposed algorithm is applied to the multi-objective aerodynamic optimization design of RAE2822 transonic airfoil. The comparison results also show that ASMOPSO algorithm is more excellent than the basic MOPSO algorithm.
- Subjects :
- multi-objective particle swarm optimization
dynamic mutation
0206 medical engineering
0202 electrical engineering, electronic engineering, information engineering
General Engineering
aerodynamic optimization
020201 artificial intelligence & image processing
α-stable distribution
TL1-4050
02 engineering and technology
airfoil design
020601 biomedical engineering
Motor vehicles. Aeronautics. Astronautics
Subjects
Details
- Language :
- Chinese
- ISSN :
- 26097125 and 10002758
- Volume :
- 37
- Issue :
- 2
- Database :
- OpenAIRE
- Journal :
- Xibei Gongye Daxue Xuebao
- Accession number :
- edsair.doi.dedup.....b6d2d8219a6bf46cae5cbca09fc12f93