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ICANN
2009
Springer
15 years 8 months ago
Measuring and Optimizing Behavioral Complexity for Evolutionary Reinforcement Learning
Model complexity is key concern to any artificial learning system due its critical impact on generalization. However, EC research has only focused phenotype structural complexity ...
Faustino J. Gomez, Julian Togelius, Jürgen Sc...
ICTAI
2003
IEEE
15 years 7 months ago
Engineering Optimization Using a Simple Evolutionary Algorithm
This paper presents a simple ¢¤£¦¥¨§© Evolution Strategy and three simple selection criteria to solve engineering optimization problems. This approach avoids the use of a...
Efrén Mezura-Montes, Carlos A. Coello Coell...
NC
1998
101views Neural Networks» more  NC 1998»
15 years 3 months ago
Evolutionary Optimized Tensor Product Bernstein Polynomials versus Backpropagation Networks
In this paper a new approach for approximation problems involving only few input and output parameters is presented and compared to traditional Backpropagation Neural Networks (BP...
Günther R. Raidl, Gabriele Kodydek
IJNS
2007
153views more  IJNS 2007»
15 years 1 months ago
Evolutionary Optimization of Sequence Kernels for Detection of bacterial gene Starts
Oligo kernels for biological sequence classification have a high discriminative power. A new parameterization for the K-mer oligo kernel is presented, where all oligomers of lengt...
Britta Mersch, Tobias Glasmachers, Peter Meinicke,...
ISDA
2009
IEEE
15 years 8 months ago
Valley-Adaptive Clearing Scheme for Multimodal Optimization Evolutionary Search
Recent studies [13, 18] have shown that clearing schemes are efficient multi-modal optimization methods. They efficiently reduce genetic drift which is the direct reason for prema...
Mostafa Mostafa Hashim Ellabaan, Yew-Soon Ong