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ICANN
2007
Springer
15 years 3 months ago
Input Selection for Radial Basis Function Networks by Constrained Optimization
Input selection in the nonlinear function approximation is important and difficult problem. Neural networks provide good generalization in many cases, but their interpretability is...
Jarkko Tikka
PRICAI
2004
Springer
15 years 3 months ago
Solving Over-Constrained Temporal Reasoning Problems Using Local Search
Temporal reasoning is an important task in many areas of computer science including planning, scheduling, temporal databases and instruction optimisation for compilers. Given a kno...
Matthew Beaumont, John Thornton, Abdul Sattar, Mic...
GECCO
2006
Springer
220views Optimization» more  GECCO 2006»
15 years 1 months ago
A comparative study of immune system based genetic algorithms in dynamic environments
Diversity and memory are two major mechanisms used in biology to keep the adaptability of organisms in the everchanging environment in nature. These mechanisms can be integrated i...
Shengxiang Yang
JGO
2010
121views more  JGO 2010»
14 years 8 months ago
The oracle penalty method
A new and universal penalty method is introduced in this contribution. It is especially intended to be applied in stochastic metaheuristics like genetic algorithms, particle swarm...
Martin Schlüter, Matthias Gerdts
ASPDAC
2010
ACM
143views Hardware» more  ASPDAC 2010»
14 years 7 months ago
Constrained global scheduling of streaming applications on MPSoCs
Abstract-- We present a global scheduling framework for synchronous data flow (SDF) streaming applications on MPSoCs, based on optimized computation and contention-free routing. Th...
Jun Zhu, Ingo Sander, Axel Jantsch