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An Improved Teaching-Learning-Based Optimization with the Social Character of PSO for Global Optimization
- Source :
- Computational Intelligence and Neuroscience, Computational Intelligence and Neuroscience, Vol 2016 (2016)
- Publication Year :
- 2016
- Publisher :
- Hindawi Publishing Corporation, 2016.
-
Abstract
- An improved teaching-learning-based optimization with combining of the social character of PSO (TLBO-PSO), which is considering the teacher’s behavior influence on the students and the mean grade of the class, is proposed in the paper to find the global solutions of function optimization problems. In this method, the teacher phase of TLBO is modified; the new position of the individual is determined by the old position, the mean position, and the best position of current generation. The method overcomes disadvantage that the evolution of the original TLBO might stop when the mean position of students equals the position of the teacher. To decrease the computation cost of the algorithm, the process of removing the duplicate individual in original TLBO is not adopted in the improved algorithm. Moreover, the probability of local convergence of the improved method is decreased by the mutation operator. The effectiveness of the proposed method is tested on some benchmark functions, and the results are competitive with respect to some other methods.
- Subjects :
- 0209 industrial biotechnology
Social character
General Computer Science
Article Subject
Computer science
General Mathematics
Computation
02 engineering and technology
lcsh:Computer applications to medicine. Medical informatics
lcsh:RC321-571
020901 industrial engineering & automation
Position (vector)
Artificial Intelligence
0202 electrical engineering, electronic engineering, information engineering
Humans
Learning
lcsh:Neurosciences. Biological psychiatry. Neuropsychiatry
Global optimization
General Neuroscience
Teaching
Process (computing)
General Medicine
Class (biology)
Local convergence
Benchmark (computing)
lcsh:R858-859.7
020201 artificial intelligence & image processing
Algorithm
Algorithms
Research Article
Subjects
Details
- Language :
- English
- ISSN :
- 16875265
- Database :
- OpenAIRE
- Journal :
- Computational Intelligence and Neuroscience
- Accession number :
- edsair.doi.dedup.....f68af8014c53810889d966d322b3f6a0
- Full Text :
- https://doi.org/10.1155/2016/4561507