Mind-evolution-based machine learning: An efficient approach of evolution computation

Proceedings of the World Congress on Intelligent Control and Automation (WCICA)

Volumn 1, Issue , 2000, Pages 118-121

  Sun, Chengy ^a   Sun, Yan ^a   Xie, Keming ^a  

^a TAIYUAN UNIVERSITY OF TECHNOLOGY   (China)

Author keywords

Dissimilation; Evolutionary computation; Genetic algorithms; Machine learning; Numerical optimization; Similartaxis

Indexed keywords

COMPUTATION THEORY; GENETIC ALGORITHMS; NUMERICAL ANALYSIS; PROBLEM SOLVING;

GLOBAL CONVERGENCE RATE;

LEARNING SYSTEMS;

EID: 0034591613     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (10)

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3. David E. Goldberg, Genetic Algorithms in Search, Optimization and Machine Learning, Addison-Wesley Publishing Compoany, Inc., 1989.
4. L. Davis (Editor) 1991, Handbook of Genetic Algorithms, Van Nostrand Teinhold, 1991.
5. D.B. Fogel, An introduction to simulated evolutionary optimization, IEEE Trans. on Neural Networks, 1994, 5(1): 3-14.
6. G. Rudolph, Convergence Properties of Canonical Genetic Algrithms, IEEE Trans. on Neural Networks, 5(1):96-101, 1994.
7. X.F. Qi and F. Palmieri, Theorical Ananlysis of Evolutionary Algorithms with an Infinite Size in Continuous Space Part I: Basic Properties of Selection and Mutation, IEEE Trans. On Neural Networks, 5(1):120-129, 1994.
8. X.F. Qi and F. Palmieri, Theorical Ananlysis of Evolutionary Algorithms with an Infinite Size in Continuous Space Part II: Analysis of the diversification role of crossover, IEEE Trans. on Neural Networks, 5(1):120-129, 1994.
9. Chengyi Sun & Yan Sun, Mind-Evolution-Based Machine Learning: Framework and The Implementation of Optimization, in: P. Kopacek ed. Proc. of IEEE Int. Conf. on Intelligent Engineering Systems (INES'98), Vienna, Austria: IEEE Inc., 1998, pp. 355-359.
10. Chengyi Sun, Yan Sun & Keming Xie, Mind-Evolution-Based Machine Learning and Applications, (in Chinese), to appear in Proc. of WCICA2000.