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GECCO
2007
Springer
212views Optimization» more  GECCO 2007»
15 years 4 months ago
An experimental analysis of evolution strategies and particle swarm optimisers using design of experiments
The success of evolutionary algorithms (EAs) depends crucially on finding suitable parameter settings. Doing this by hand is a very time consuming job without the guarantee to ...
Oliver Kramer, Bartek Gloger, Andreas Goebels
GECCO
2004
Springer
15 years 3 months ago
The Lens Design Using the CMA-ES Algorithm
This paper presents a lens system design algorithm using the covariance matrix adaptation evolution strategy (CMA-ES), which is one of the most powerful self-adaptation mechanisms....
Yuichi Nagata
CGO
2009
IEEE
15 years 4 months ago
Scenario Based Optimization: A Framework for Statically Enabling Online Optimizations
Abstract—Online optimization allows the continuous restructuring and adaptation of an executing application using live information about its execution environment. The further ad...
Jason Mars, Robert Hundt
ACMICEC
2003
ACM
172views ECommerce» more  ACMICEC 2003»
15 years 3 months ago
Automated mechanism design: complexity results stemming from the single-agent setting
The aggregation of conflicting preferences is a central problem in multiagent systems. The key difficulty is that the agents may report their preferences insincerely. Mechanism ...
Vincent Conitzer, Tuomas Sandholm
ISVLSI
2003
IEEE
115views VLSI» more  ISVLSI 2003»
15 years 3 months ago
Getting High-Performance Silicon from System-Level Design
System-level design techniques promise a way to lessen the productivity gap between fabrication and design. Unfortunately, these techniques have been slow to catch on, in part bec...
W. Rhett Davis