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Journal Articles (24)
Scalable model-based clustering for large databases based on data summarization
IEEE Transactions on Pattern Analysis & Machine Intelligence (2015)
The scalability problem in data mining involves the development of methods for handling large databases with limited computational resources such ...
Adaptive, convergent, and diversified archiving strategy for multiobjective evolutionary algorithms
Expert Systems With Applications (2010)
It is crucial to obtain automatically and efficiently a well-distributed set of Pareto optimal solutions in multiobjective evolutionary algorithms (MOEAs). ...
An efficient self-organizing map designed by genetic algorithms for the ...
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics (2003)
As a typical combinatorial optimization problem, the traveling salesman problem (TSP) has attracted extensive research interest. In this paper, we ...
Learning nonlinear multiregression networks based on evolutionary computation
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics (2002)
This paper describes a novel knowledge discovery and data mining framework dealing with nonlinear interactions among domain attributes. Our network-based ...
Discovering knowledge from medical databases using evolutionary algorithms : learning rules ...
IEEE Engineering in Medicine and Biology Magazine (2000)
Data mining, referred to as knowledge discovery in databases (KDD), is the nontrivial process of identifying valid, novel and potentially ...
Book Chapters (8)
Contribution to Book
Hierarchical knowledge in self-improving Grammar-Based Genetic Programming
Parallel Problem Solving from Nature: PPSN XIV: 14th International Conference, Edinburgh, UK, September 17-21, 2016, Proceedings (2016)
Structure of a grammar can influence how well a Grammar-Based Genetic Programming system solves a given problem but it is ...