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» Critical control of a genetic algorithm
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AAAI
2007
15 years 2 months ago
Temporal Difference and Policy Search Methods for Reinforcement Learning: An Empirical Comparison
Reinforcement learning (RL) methods have become popular in recent years because of their ability to solve complex tasks with minimal feedback. Both genetic algorithms (GAs) and te...
Matthew E. Taylor, Shimon Whiteson, Peter Stone
JAIR
2006
74views more  JAIR 2006»
15 years 13 days ago
Understanding Algorithm Performance on an Oversubscribed Scheduling Application
The best performing algorithms for a particular oversubscribed scheduling application, Air Force Satellite Control Network (AFSCN) scheduling, appear to have little in common. Yet...
Laura Barbulescu, Adele E. Howe, L. Darrell Whitle...
104
Voted
CORR
2010
Springer
114views Education» more  CORR 2010»
14 years 10 months ago
On the Impact of Mutation-Selection Balance on the Runtime of Evolutionary Algorithms
The interplay between the mutation operator and the selection mechanism plays a fundamental role in the behaviour of evolutionary algorithms (EAs). However, this interplay is stil...
Per Kristian Lehre, Xin Yao
95
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CEC
2007
IEEE
15 years 6 months ago
Parallel learning in heterogeneous multi-robot swarms
Abstract— Designing effective behavioral controllers for mobile robots can be difficult and tedious; this process can be circumvented by using unsupervised learning techniques w...
Jim Pugh, Alcherio Martinoli
HIS
2009
14 years 10 months ago
Design Methodology of a Fault Aware Controller Using an Incipient Fault Diagonizer
The problem of failure diagnosis has received a considerable attention in the domain of reliability engineering, process control and computer science. The increasing stringent req...
Joydeb Roychoudhury, Tribeni Prasad Banerjee, Anup...