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119
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GECCO
2007
Springer
172views Optimization» more  GECCO 2007»
15 years 9 months ago
Real-coded ECGA for economic dispatch
In this paper, we propose a new approach that consists of the extended compact genetic algorithm (ECGA) and split-ondemand (SoD), an adaptive discretization technique, to economic...
Chao-Hong Chen, Ying-Ping Chen
134
Voted
GECCO
2007
Springer
173views Optimization» more  GECCO 2007»
15 years 9 months ago
A hybrid GA for a supply chain production planning problem
The problem of production and delivery lot-sizing and scheduling of set of items in a two-echelon supply chain over a finite planning horizon is addressed in this paper. A single ...
Masoud Jenabi, S. Ali Torabi, S. Afshin Mansouri
GECCO
2007
Springer
162views Optimization» more  GECCO 2007»
15 years 9 months ago
Learning noise
In this paper we propose a genetic programming approach to learning stochastic models with unsymmetrical noise distributions. Most learning algorithms try to learn from noisy data...
Michael D. Schmidt, Hod Lipson
136
Voted
ICANN
2007
Springer
15 years 9 months ago
Selection of Decision Stumps in Bagging Ensembles
Abstract. This article presents a comprehensive study of different ensemble pruning techniques applied to a bagging ensemble composed of decision stumps. Six different ensemble p...
Gonzalo Martínez-Muñoz, Daniel Hern&...
108
Voted
ICANNGA
2007
Springer
153views Algorithms» more  ICANNGA 2007»
15 years 9 months ago
Automatic Design of ANNs by Means of GP for Data Mining Tasks: Iris Flower Classification Problem
This paper describes a new technique for automatically developing Artificial Neural Networks (ANNs) by means of an Evolutionary Computation (EC) tool, called Genetic Programming (G...
Daniel Rivero, Juan R. Rabuñal, Julian Dora...