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GECCO
2003
Springer
111views Optimization» more  GECCO 2003»
15 years 12 months ago
An Adaptive Penalty Scheme for Steady-State Genetic Algorithms
A parameter-less adaptive penalty scheme for steady-state genetic algorithms applied to constrained optimization problems is proposed. For each constraint, a penalty parameter is a...
Helio J. C. Barbosa, Afonso C. C. Lemonge
GECCO
2004
Springer
16 years 3 days ago
Self Adaptation of Operator Rates in Evolutionary Algorithms
Abstract. This work introduces a new evolutionary algorithm that adapts the operator probabilities (rates) while evolves the solution of the problem. Each individual encodes its ge...
Jonatan Gomez
GECCO
2003
Springer
15 years 12 months ago
Coarse-Graining in Genetic Algorithms: Some Issues and Examples
Following the work of Stephens and coworkers on the coarse-grained dynamics of genetic systems, we work towards a possible generalisation in the context of genetic algorithms, givi...
Andrés Aguilar Contreras, Jonathan E. Rowe,...
COLT
2004
Springer
15 years 10 months ago
Oracle Bounds and Exact Algorithm for Dyadic Classification Trees
This paper introduces a new method using dyadic decision trees for estimating a classification or a regression function in a multiclass classification problem. The estimator is bas...
Gilles Blanchard, Christin Schäfer, Yves Roze...
AISB
1995
Springer
15 years 10 months ago
An Evolutionary Algorithm for Parametric Array Signal Processing
This paper presents an evolutionary algorithm for solving parameter optimization problems in parametric array signal processing. The method utilises the niche concept to maintain a...
Dekun Yang, Stuart J. Flockton