A New Opposition-based Compact Genetic Algorithm with Fluctuation

Journal of Computational Information Systems

Volumn 6, Issue 3, 2010, Pages 897-904

  Lin, Zhiyi ^a   Wang, Lingling ^b  

^a GUANGDONG UNIVERSITY OF TECHNOLOGY   (China)

^b WUHAN UNIVERSITY   (China)

Author keywords

Compact genetic algorithm; Elitism strategy; Fluctuation; Opposition based learning

Indexed keywords

COMPACT GENETIC ALGORITHM; CONVERGENCE SPEED; ELITISM STRATEGY; FLUCTUATION; KEYPOINTS; OPPOSITION-BASED LEARNING; POPULATION DIVERSITY; PREMATURE CONVERGENCE; PROBABILITY VECTOR; SIMULATION RESULT;

GENETIC ALGORITHMS; LEARNING ALGORITHMS;

CONVERGENCE OF NUMERICAL METHODS;

EID: 77956968799     PISSN: 15539105     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (12)

1. P. Larrañaga and J.A. Lozano, Editors, Estimation of Distribution Algorithms: A New Tool for Evolutionary Computation, Kluwer, Boston, MA (2002).
2. Nan Ding, Shu-De Zhou, and Zeng-Qi Sun. Histogram-Based Estimation of Distribution Algorithm: A Competent Method for Continuous Optimization. Journal of Computer Science and Technology 2008, 23(1): 35-43.
3. Harik G R, Lobo F G, Goldberg D E. The compact genetic algorithm[J]. IEEE Trans on Evolutionary Computation, 1999, 3 (4): 287-297.
4. Chang Wook Ahn, R S Ramkrishna. Elitism-Based compact genetic algorithm [J]. IEEE Tans on evolutionary computation (S1089-778X), 2003, 7(4): 367-385.
5. Zhou Chenguang, Wang Qi, Qiu Zulian. An improved compact genetic algorithm mutated by bit[J]. Computer Engineering, 2003, 29(17): 19-21.
6. Li Bi, Lin Tu-Sheng, Liao Liang. Compact genetic algorithms based on mutation[J]. Computer Engineering, 2008, 34(4): 207-208.
7. Zhang Qing-Bin, Wu Ti-Hua, Liu Bo, Piao Li-Hua. Improved compact genetic algorithm with higher selection pressures [J]. Computer Engineering, 2008, 34(24):183-185.
8. Sheng Yuan-Xia, Zeng Chuan-Hua, Zhang Cui-Fang. Adaptive compact genetic algorithm and simulation [J]. Journal of System Simulation, 2008, 20(5):1167-1169.
9. Abhishek Verma et al. Scaling Simple and Compact Genetic Algorithms using MapReduce (IlliGAL Report No. 2009001). Urbana, IL: University of Illinois at Urbana-Champaign.
10. H.R. Tizhoosh, Opposition-Based Learning: A New Scheme for Machine Intelligence. Proceedings of International Conference on Computational Intelligence for Modeling Control and Automation-CIMCA'2005, Vienna, Austria, vol. I, pp. 695-701.
11. S. Rahnamayan, H. R. Tizhoosh, M. M. A. Salama, Opposition-based differential evolution algorithms. IEEE Congress on Evolutionary Computation, Vancourver, BC, Canada, 2006
12. H. Wang, Y. Liu, S. Zeng, H. Li, and C. Li, Opposition-based particle swarm algorithm with cauchy mutation. IEEE Congress on Evolutionary Computation, Singapore, 2007, pp.4750-4756.