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GECCO
2008
Springer
186views Optimization» more  GECCO 2008»
15 years 23 days ago
A pareto following variation operator for fast-converging multiobjective evolutionary algorithms
One of the major difficulties when applying Multiobjective Evolutionary Algorithms (MOEA) to real world problems is the large number of objective function evaluations. Approximate...
A. K. M. Khaled Ahsan Talukder, Michael Kirley, Ra...
TSMC
2002
68views more  TSMC 2002»
14 years 11 months ago
Learning nonlinear multiregression networks based on evolutionary computation
Kwong-Sak Leung, Man Leung Wong, Wai Lam, Zhenyuan...
CEC
2005
IEEE
15 years 5 months ago
Dynamic salting route optimisation using evolutionary computation
Abstract- On marginal winter nights, highway authorities face a difficult decision as to whether or not to salt the road network. The consequences of making a wrong decision are s...
Hisashi Handa, Lee Chapman, Xin Yao
PPSN
2004
Springer
15 years 5 months ago
A Primer on the Evolution of Equivalence Classes of Bayesian-Network Structures
Bayesian networks (BN) constitute a useful tool to model the joint distribution of a set of random variables of interest. To deal with the problem of learning sensible BN models fr...
Jorge Muruzábal, Carlos Cotta
SACI
2007
IEEE
15 years 6 months ago
A Computational Intelligence Approach for Ranking Risk Factors in Preterm Birth
- The aim of this paper is to propose a filter, based on a multi-objective evolutionary algorithm, for attributes’ ranking in the context of a data mining task. The behavior of t...
Daniela Zaharie, Stefan Holban, Diana Lungeanu, Da...