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GECCO
2005
Springer
103views Optimization» more  GECCO 2005»
15 years 3 months ago
Pricing the 'free lunch' of meta-evolution
A number of recent studies introduced meta-evolutionary strategies and successfully used them for solving problems in genetic programming. While individual results indicate possib...
Alexei V. Samsonovich, Kenneth A. De Jong
GECCO
2005
Springer
137views Optimization» more  GECCO 2005»
15 years 3 months ago
Constant generation for the financial domain using grammatical evolution
This study reports the work to date on the analysis of different methodologies for constant creation with the aim of applying the most advantageous method to the dynamic real wor...
Ian Dempsey
GECCO
2005
Springer
175views Optimization» more  GECCO 2005»
15 years 3 months ago
Meta-grammar constant creation with grammatical evolution by grammatical evolution
This study examines the utility of meta-grammar constant generation on a series of benchmark problems. The performance of the meta-grammar approach is compared to a grammar which ...
Ian Dempsey, Michael O'Neill, Anthony Brabazon
AAAI
2007
15 years 2 days 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
COR
2010
117views more  COR 2010»
14 years 9 months ago
Performance optimization of open zero-buffer multi-server queueing networks
Abstract -- Open zero-buffer multi-server general queueing networks occur throughout a number of physical systems in the semi-process and process industries. In this paper, we eval...
R. Andriansyah, Tom Van Woensel, Frederico R. B. C...