Hybrid Genetic Algorithms Are Better for Spatial Clustering-Reference-Cited by-同舟云学术

Hybrid Genetic Algorithms Are Better for Spatial Clustering

Published:2000 Issue: Volume: Page:424-434
ISSN:0302-9743
Container-title:PRICAI 2000 Topics in Artificial Intelligence
language:
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Author:

Estivill-Castro Vladimir

Publisher

Springer Berlin Heidelberg

Link

http://link.springer.com/content/pdf/10.1007/3-540-44533-1_44

Reference15 articles.

1. M.S. Aldenderfer and R.K. Blashfield. Cluster Analysis. Sage, Beverly Hills, 1984.

2. C.K. Chak and Feng G. Accelerated genetic algorithms: combined with local search for fast and accurate global search. In 1995 IEEE Int. Conf. Evolutionary Computation, 378–383, NY, 1995. IEEE Neural Network Council.

3. V. Cherkassky and F. Muller. Learning from Data — Concept, Theory and Methods. Wiley, NY, 1998.

4. V. Estivill-Castro and A.T. Murray. Clustering and capacitated facility location via hybrid optimisation. Proc. Int. ICSC Symp. on Intelligent Systems and Applications ISA-WOO, Wollongong, Australia, Dec. 12–15 2000.

5. V Estivill-Castro and R. Torres-Velázquez. Hybrid genetic algorithm for solving the p-median problem. A Yao, et al eds., Proc. SEAL-98, 18–25. Springer Verlag LNAI 1585, 1999.

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