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» Multi-resolution Exploration in Continuous Spaces
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GECCO
2008
Springer
167views Optimization» more  GECCO 2008»
13 years 8 months ago
Using coevolution to understand and validate game balance in continuous games
We attack the problem of game balancing by using a coevolutionary algorithm to explore the space of possible game strategies and counter strategies. We define balanced games as g...
Ryan E. Leigh, Justin Schonfeld, Sushil J. Louis
ECBS
2010
IEEE
209views Hardware» more  ECBS 2010»
13 years 11 months ago
Continuous Verification of Large Embedded Software Using SMT-Based Bounded Model Checking
The complexity of software in embedded systems has increased significantly over the last years so that software verification now plays an important role in ensuring the overall pr...
Lucas Cordeiro, Bernd Fischer 0002, João Ma...
CEC
2005
IEEE
13 years 9 months ago
XCS with computed prediction in continuous multistep environments
We apply XCS with computed prediction (XCSF) to tackle multistep reinforcement learning problems involving continuous inputs. In essence we use XCSF as a method of generalized rein...
Pier Luca Lanzi, Daniele Loiacono, Stewart W. Wils...
IPPS
2003
IEEE
14 years 19 days ago
Parallel Heterogeneous Genetic Algorithms for Continuous Optimization
In this paper we address the physical parallelization of a very efficient genetic algorithm (GA) known as gradual distributed real-coded GA (GD-RCGA). This search model naturally...
Enrique Alba, Francisco Luna, Antonio J. Nebro
NIPS
2008
13 years 8 months ago
Tracking Changing Stimuli in Continuous Attractor Neural Networks
Continuous attractor neural networks (CANNs) are emerging as promising models for describing the encoding of continuous stimuli in neural systems. Due to the translational invaria...
C. C. Alan Fung, K. Y. Michael Wong, Si Wu