A Novel Clustering Approach using Hierarchical Genetic Algorithms-Reference-Cited by-同舟云学术

A Novel Clustering Approach using Hierarchical Genetic Algorithms

Published:2005-01 Issue:3 Volume:11 Page:143-153
ISSN:1079-8587
Container-title:Intelligent Automation & Soft Computing
language:en
Short-container-title:Intelligent Automation & Soft Computing

Author:

Lai Chih-Chin

Publisher

Computers, Materials and Continua (Tech Science Press)

Subject

Artificial Intelligence,Computational Theory and Mathematics,Theoretical Computer Science,Software

Reference7 articles.

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3. K. A. DeJong and W. M. Spears. “An analysis of the interacting roles of population size and crossover in genetic algorithms”. inParallel Problem Solving from Nature,H.P. Schwefel and R. Manner, Eds., Springer-Verlag, Berlin, p.38, 1990.

4. D. E. Goldberg.Genetic Algorithms in Search, Optimization, and Machine Learning,Addison-Wesley: Reading, MA, 1989.

5. K. F. Man, K. S. Tang, and S. Kwong.Genetic Algorithms: Concepts and Designs,Springer-Verlag: London, 1999.

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