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GECCO
2008
Springer
177views Optimization» more  GECCO 2008»
13 years 10 months ago
Reduced computation for evolutionary optimization in noisy environment
Evolutionary Algorithms’ (EAs’) application to real world optimization problems often involves expensive fitness function evaluation. Naturally this has a crippling effect on ...
Maumita Bhattacharya
WETICE
2000
IEEE
14 years 1 months ago
CollabLogger: A Tool for Visualizing Groups at Work
The CollabLogger is a visual tool that supports usability analyses of human-computer interaction in a team environment. Participants in our computer-mediated activity were engaged...
Emile L. Morse, Michelle Potts Steves
ECAL
2007
Springer
14 years 3 months ago
Neuroevolution of Agents Capable of Reactive and Deliberative Behaviours in Novel and Dynamic Environments
Both reactive and deliberative qualities are essential for a good action selection mechanism. We present a model that embodies a hybrid of two very different neural network archit...
Edward Robinson, Timothy Ellis, Alastair Channon
GECCO
2007
Springer
184views Optimization» more  GECCO 2007»
14 years 3 months ago
Experimental analysis of binary differential evolution in dynamic environments
Many real-world optimization problems are dynamic in nature. The interest in the Evolutionary Algorithms (EAs) community in applying EA variants to dynamic optimization problems h...
Alp Emre Kanlikilicer, Ali Keles, Sima Uyar
AAAI
1997
13 years 10 months ago
Reinforcement Learning with Time
This paper steps back from the standard infinite horizon formulation of reinforcement learning problems to consider the simpler case of finite horizon problems. Although finite ho...
Daishi Harada