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GECCO
2007
Springer
213views Optimization» more  GECCO 2007»
15 years 9 months ago
Genetically programmed learning classifier system description and results
An agent population can be evolved in a complex environment to perform various tasks and optimize its job performance using Learning Classifier System (LCS) technology. Due to the...
Gregory Anthony Harrison, Eric W. Worden
ATAL
2007
Springer
15 years 9 months ago
Commitment-driven distributed joint policy search
Decentralized MDPs provide powerful models of interactions in multi-agent environments, but are often very difficult or even computationally infeasible to solve optimally. Here we...
Stefan J. Witwicki, Edmund H. Durfee
RTCSA
2006
IEEE
15 years 9 months ago
Maximizing Guaranteed QoS in (m, k)-firm Real-time Systems
(m,k)-firm constraints have been used to schedule tasks in soft/firm real-time systems under overloaded conditions. In general, they are provided by application designers to guara...
Jian (Denny) Lin, Albert M. K. Cheng
133
Voted
ATAL
2005
Springer
15 years 8 months ago
A distributed framework for solving the Multiagent Plan Coordination Problem
We examine whether and how the Multiagent Plan Coordination Problem, the problem of resolving interactions between the plans of multiple agents, can be cast as a Distributed Const...
Jeffrey S. Cox, Edmund H. Durfee, Thomas Bartold
LCPC
2004
Springer
15 years 8 months ago
Phase-Based Miss Rate Prediction Across Program Inputs
Previous work shows the possibility of predicting the cache miss rate (CMR) for all inputs of a program. However, most optimization techniques need to know more than the miss rate ...
Xipeng Shen, Yutao Zhong, Chen Ding