Polygene-based evolutionary algorithms with frequent pattern mining

Author:

Wang Shuaiqiang,Yin Yilong

Publisher

Springer Science and Business Media LLC

Subject

General Computer Science,Theoretical Computer Science

Reference52 articles.

1. Wang S Q, Gao B J, Wang S L, Cao G B, and Yin Y L. Polygene-based evolution: a novel framework for evolutionary algorithms. In: Proceedings of the 21st ACM Conference on Information and Knowledge Management. 2012, 2263–2266

2. Boughanem M, Tamine L. Query optimization using an improved genetic algorithm. In: Proceedings of the 9th International Conference on Information and Knowledge Management. 2000, 368–373

3. Venkatraman S, Yen G G. A generic framework for constrained optimization using genetic algorithms. IEEE Transactions on Evolutionary Computation, 2005, 9(4): 424–435

4. Malek H, Ebadzadeh M M, Rahmati M. Three new fuzzy neural networks learning algorithms based on clustering, training error and genetic algorithm. Applied Intelligence, 2012, 37(2): 280–289

5. Zafra A, Ventura S. Multi-objective genetic programming for multiple instance learning. In: Proceedings of the 18th European Conference on Machine Learning. 2007, 790–797

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