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GECCO
2006
Springer
133views Optimization» more  GECCO 2006»
13 years 11 months ago
On-line evolutionary computation for reinforcement learning in stochastic domains
In reinforcement learning, an agent interacting with its environment strives to learn a policy that specifies, for each state it may encounter, what action to take. Evolutionary c...
Shimon Whiteson, Peter Stone
GECCO
2007
Springer
159views Optimization» more  GECCO 2007»
13 years 11 months ago
Discrimination of metabolic flux profiles using a hybrid evolutionary algorithm
Studying metabolic fluxes is a crucial aspect of understanding biological phenotypes. However, it is often not possible to measure these fluxes directly. As an alternative, fluxom...
Stefan Bleuler, Eckart Zitzler
GECCO
2006
Springer
132views Optimization» more  GECCO 2006»
13 years 11 months ago
A neural evolutionary approach to financial modeling
This paper presents an approach to the joint optimization of neural network structure and weights which can take advantage of backpropagation as a specialized decoder. The approac...
Antonia Azzini, Andrea Tettamanzi
GECCO
2006
Springer
332views Optimization» more  GECCO 2006»
13 years 11 months ago
Multi-objective PID-controller tuning for a magnetic levitation system using NSGA-II
This paper investigates the issue of PID-controller parameter tuning for a magnetic levitation system using the nondominated sorting genetic algorithm (NSGA-II). The magnetic levi...
Gerulf K. M. Pedersen, Zhenyu Yang
GECCO
2006
Springer
143views Optimization» more  GECCO 2006»
13 years 11 months ago
Heterogeneous cooperative coevolution: strategies of integration between GP and GA
Cooperative coevolution has proven to be a promising technique for solving complex combinatorial optimization problems. In this paper, we present four different strategies which i...
Leonardo Vanneschi, Giancarlo Mauri, Andrea Valsec...