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372views
16 years 4 months ago
Multi-Objects Interpretation
We describe a general-purpose method for the accurate and robust interpretation of a data set of p-dimensional points by several deformable prototypes. This method is based on the ...
Jean-Philippe Tarel
GECCO
2006
Springer
165views Optimization» more  GECCO 2006»
15 years 6 months ago
Multiobjective genetic rule selection as a data mining postprocessing procedure
In this paper, we show the usefulness of multiobjective genetic rule selection as a postprocessing procedure in data mining for pattern classification problems. First we extract a...
Hisao Ishibuchi, Yusuke Nojima, Isao Kuwajima
TSE
2011
111views more  TSE 2011»
14 years 10 months ago
Software Module Clustering as a Multi-Objective Search Problem
Software module clustering is the problem of automatically organising software units into modules to improve program structure. There has been a great deal of recent interest in s...
Kata Praditwong, Mark Harman, Xin Yao
GECCO
2004
Springer
118views Optimization» more  GECCO 2004»
15 years 8 months ago
Better Spread and Convergence: Particle Swarm Multiobjective Optimization Using the Maximin Fitness Function
Maximin strategy has its origin in game theory, but it can be adopted for effective multiobjective optimization. This paper proposes a particle swarm multiobjective optimiser, max...
Xiaodong Li
GECCO
2005
Springer
144views Optimization» more  GECCO 2005»
15 years 8 months ago
Multiobjective hBOA, clustering, and scalability
This paper describes a scalable algorithm for solving multiobjective decomposable problems by combining the hierarchical Bayesian optimization algorithm (hBOA) with the nondominat...
Martin Pelikan, Kumara Sastry, David E. Goldberg