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GECCO
2007
Springer
119views Optimization» more  GECCO 2007»
16 years 26 days ago
Optimising the flow of experiments to a robot scientist with multi-objective evolutionary algorithms
A Robot Scientist is a physically implemented system that applies artificial intelligence to autonomously discover new knowledge through cycles of scientific experimentation. Ad...
Emma Byrne
PASTE
2005
ACM
16 years 8 days ago
LANCET: a nifty code editing tool
This paper presents Lancet, a multi-platform software visualization tool that enables the inspection of programs at the binary code level. Implemented on top of the linktime rewri...
Ludo Van Put, Bjorn De Sutter, Matias Madou, Bruno...
AE
2005
Springer
16 years 7 days ago
Algorithms (X, sigma, eta): Quasi-random Mutations for Evolution Strategies
Randomization is an efficient tool for global optimization. We here define a method which keeps : – the order 0 of evolutionary algorithms (no gradient) ; – the stochastic as...
Anne Auger, Mohamed Jebalia, Olivier Teytaud
ROBOCUP
2005
Springer
109views Robotics» more  ROBOCUP 2005»
16 years 5 days ago
Using the Max-Plus Algorithm for Multiagent Decision Making in Coordination Graphs
Abstract. Coordination graphs offer a tractable framework for cooperative multiagent decision making by decomposing the global payoff function into a sum of local terms. Each age...
Jelle R. Kok, Nikos A. Vlassis
CGO
2003
IEEE
16 years 1 hour ago
Dynamic Trace Selection Using Performance Monitoring Hardware Sampling
Optimizing programs at run-time provides opportunities to apply aggressive optimizations to programs based on information that was not available at compile time. At run time, prog...
Howard Chen, Wei-Chung Hsu, Dong-yuan Chen