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GECCO
2007
Springer
212views Optimization» more  GECCO 2007»
14 years 1 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
ICCS
2003
Springer
14 years 23 days ago
Implementation of a Grid-Enabled Problem Solving Environment in Matlab
In many areas of design search and optimisation one needs to utilize Computational Fluid Dynamics (CFD) methods in order to obtain numerical solution of the flow field in and/or ...
M. Hakki Eres, Graeme E. Pound, Zhuoan Jiao, Jasmi...
FUZZIEEE
2007
IEEE
14 years 1 months ago
Optimised Generalised Type-2 Join and Meet Operations
— The inferencing stage of a type-2 fuzzy inferencing system is driven by join and meet operations. As conventionally implemented these algorithms are computationally complex. Th...
Sarah Greenfield, Robert John
SAS
2005
Springer
114views Formal Methods» more  SAS 2005»
14 years 1 months ago
Type-Safe Optimisation of Plugin Architectures
Programmers increasingly implement plugin architectures in type-safe object-oriented languages such as Java. A virtual machine can dynamically load class files containing plugins,...
Neal Glew, Jens Palsberg, Christian Grothoff
PPDP
2005
Springer
14 years 1 months ago
Self-tuning resource aware specialisation for prolog
The paper develops a self-tuning resource aware partial evaluation technique for Prolog programs, which derives its own control strategies tuned for the underlying computer archit...
Stephen-John Craig, Michael Leuschel