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Adoption of computer particle swarm optimization algorithm under thermodynamic motion mechanism
- Source :
- Thermal Science, Vol 24, Iss 5 Part A, Pp 2707-2715 (2020)
- Publication Year :
- 2020
- Publisher :
- National Library of Serbia, 2020.
-
Abstract
- In order to improve the stability and sensitivity of particle swarm optimization (PSO) algorithm and to solve the problem of premature convergence, in this re-search, a computer PSO algorithm based on thermodynamic motion mechanism is proposed based on the principle of thermodynamic motion mechanism. Firstly, the thermodynamic motion phenomenon, the diffusion law in kinematics and the standard PSO algorithm are introduced. Then, according to the basic idea of thermodynamic motion mechanism, the standardized PSO algorithm is optimized and its optimization process is introduced. Finally, the experimental results are analysed by setting the test function. The results show that among the five test functions, the computer PSO algorithm based on thermodynamic motion mechanism has a higher probability of jumping out of the local optimal solution. Its robustness and stability are much better than standard PSO algorithms. The evolution ability of the computer PSO algorithm based on thermodynamic motion mechanism is better than that of the standard PSO algorithm. The standard PSO algorithm is superior because it is based on thermodynamic motion mechanism. The research in this paper can provide good guidance for improving the performance of PSO algorithm.
- Subjects :
- TheoryofComputation_COMPUTATIONBYABSTRACTDEVICES
convergence
Renewable Energy, Sustainability and the Environment
Computer science
lcsh:Mechanical engineering and machinery
Computer Science::Neural and Evolutionary Computation
MathematicsofComputing_NUMERICALANALYSIS
Stability (learning theory)
test functions
Particle swarm optimization
Kinematics
ComputingMethodologies_ARTIFICIALINTELLIGENCE
Computer Science::Computational Engineering, Finance, and Science
Robustness (computer science)
pso algorithm
Convergence (routing)
Test functions for optimization
lcsh:TJ1-1570
Sensitivity (control systems)
Algorithm
thermodynamic motion mechanism
Premature convergence
Subjects
Details
- ISSN :
- 23347163 and 03549836
- Volume :
- 24
- Database :
- OpenAIRE
- Journal :
- Thermal Science
- Accession number :
- edsair.doi.dedup.....f4e3ef47388acf30f85b2f5595601a9a