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An Allele Real-Coded Quantum Evolutionary Algorithm Based on Hybrid Updating Strategy
- Source :
- Computational Intelligence and Neuroscience, Vol 2016 (2016), Computational Intelligence and Neuroscience
- Publication Year :
- 2016
- Publisher :
- Hindawi Limited, 2016.
-
Abstract
- For improving convergence rate and preventing prematurity in quantum evolutionary algorithm, an allele real-coded quantum evolutionary algorithm based on hybrid updating strategy is presented. The real variables are coded with probability superposition of allele. A hybrid updating strategy balancing the global search and local search is presented in which the superior allele is defined. On the basis of superior allele and inferior allele, a guided evolutionary process as well as updating allele with variable scale contraction is adopted. AndHεgate is introduced to prevent prematurity. Furthermore, the global convergence of proposed algorithm is proved byMarkovchain. Finally, the proposed algorithm is compared with genetic algorithm, quantum evolutionary algorithm, and double chains quantum genetic algorithm in solving continuous optimization problem, and the experimental results verify the advantages on convergence rate and search accuracy.
- Subjects :
- 0209 industrial biotechnology
Mathematical optimization
Article Subject
General Computer Science
General Mathematics
Population-based incremental learning
Computer Science::Neural and Evolutionary Computation
02 engineering and technology
lcsh:Computer applications to medicine. Medical informatics
lcsh:RC321-571
020901 industrial engineering & automation
Artificial Intelligence
Genetic algorithm
Convergence (routing)
0202 electrical engineering, electronic engineering, information engineering
Quantitative Biology::Populations and Evolution
Computer Simulation
Local search (optimization)
lcsh:Neurosciences. Biological psychiatry. Neuropsychiatry
Contraction (operator theory)
Mathematics
Markov chain
Basis (linear algebra)
business.industry
General Neuroscience
General Medicine
Quantitative Biology::Genomics
Rate of convergence
Quantum Theory
lcsh:R858-859.7
020201 artificial intelligence & image processing
business
Algorithm
Algorithms
Research Article
Subjects
Details
- ISSN :
- 16875273 and 16875265
- Volume :
- 2016
- Database :
- OpenAIRE
- Journal :
- Computational Intelligence and Neuroscience
- Accession number :
- edsair.doi.dedup.....46428fc745aedfa0ea987cbd5a2da171