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GECCO
2007
Springer
532views Optimization» more  GECCO 2007»
14 years 3 months ago
Evolving evolutionary algorithms using evolutionary algorithms
A new model for automatic generation of Evolutionary Algorithms (EAs) by evolutionary means is proposed in this paper. The model is based on a simple Genetic Algorithm (GA). Every...
Laura Diosan, Mihai Oltean
AAAI
2008
13 years 11 months ago
Economic Hierarchical Q-Learning
Hierarchical state decompositions address the curse-ofdimensionality in Q-learning methods for reinforcement learning (RL) but can suffer from suboptimality. In addressing this, w...
Erik G. Schultink, Ruggiero Cavallo, David C. Park...
IJCNN
2007
IEEE
14 years 3 months ago
Automated Linear Modeling of Time Series with Self Adaptive Genetic Algorithms
—In this paper we present two algorithms that automatically calculate linear expressions for Time Series. To estimate the maximum number of terms of the linear expression and the...
Pedro Flores, Carlos Anaya, Hector M. Ramirez, Lui...
ESIAT
2009
IEEE
13 years 7 months ago
Path Planning Based on Dynamic Sub-population Pseudo-Parallel Genetic Algorithm
Through analysis of present pseudo-parallel genetic algorithm, propose a new dynamic sub-population pseudo-parallel genetic algorithm. It changes the condition that the magnitude o...
Lei Li, Yuemei Ren, Changyu Yang
AUSAI
2005
Springer
14 years 2 months ago
A Genetic Algorithm for Job Shop Scheduling with Load Balancing
This paper deals with the load-balancing of machines in a real-world job-shop scheduling problem, with identical machines. The load-balancing algorithm allocates jobs, split into l...
Sanja Petrovic, Carole Fayad