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TEC
2002
128views more  TEC 2002»
13 years 7 months ago
A framework for evolutionary optimization with approximate fitness functions
It is not unusual that an approximate model is needed for fitness evaluation in evolutionary computation. In this case, the convergence properties of the evolutionary algorithm are...
Yaochu Jin, Markus Olhofer, Bernhard Sendhoff
ICSE
2003
IEEE-ACM
14 years 7 months ago
On the Uniformity of Software Evolution Patterns
Preparations for Y2K reminded the software engineering community of the extent to which long-lived software systems are embedded in our daily environments. As systems are maintain...
Evelyn J. Barry, Chris F. Kemerer, Sandra Slaughte...
ECAL
2001
Springer
13 years 12 months ago
Evolution of Reinforcement Learning in Uncertain Environments: Emergence of Risk-Aversion and Matching
Reinforcement learning (RL) is a fundamental process by which organisms learn to achieve a goal from interactions with the environment. Using Artificial Life techniques we derive ...
Yael Niv, Daphna Joel, Isaac Meilijson, Eytan Rupp...
AAAI
2008
13 years 9 months ago
Bidding Strategies for Realistic Multi-Unit Sealed-Bid Auctions
When autonomous agents decide on their bidding strategies in real world auctions, they have a number of concerns that go beyond the models that are normally analyzed in traditiona...
Ioannis A. Vetsikas, Nicholas R. Jennings
TKDE
2008
154views more  TKDE 2008»
13 years 7 months ago
Analyzing the Structure and Evolution of Massive Telecom Graphs
Abstract-- With ever growing competition in telecommunications markets, operators have to increasingly rely on business intelligence to offer the right incentives to their customer...
Amit Anil Nanavati, Rahul Singh, Dipanjan Chakrabo...