1. An Allele Real-Coded Quantum Evolutionary Algorithm Based on Hybrid Updating Strategy
- Author
-
Hui-Deng Peng, Xiaoyi Qian, Yuxian Zhang, and Jianhui Wang
- 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 - 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.
- Published
- 2016