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» Solving Hierarchical Optimization Problems Using MOEAs
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GECCO
2007
Springer
138views Optimization» more  GECCO 2007»
14 years 5 months ago
Reducing the space-time complexity of the CMA-ES
A limited memory version of the covariance matrix adaptation evolution strategy (CMA-ES) is presented. This algorithm, L-CMA-ES, improves the space and time complexity of the CMA-...
James N. Knight, Monte Lunacek
GECCO
2007
Springer
155views Optimization» more  GECCO 2007»
14 years 5 months ago
Towards clustering with XCS
This paper presents a novel approach to clustering using an accuracy-based Learning Classifier System. Our approach achieves this by exploiting the generalization mechanisms inher...
Kreangsak Tamee, Larry Bull, Ouen Pinngern
ERLANG
2003
ACM
14 years 4 months ago
Extending the VoDKA architecture to improve resource modelling
VoDKA is a Video-on-Demand server developed using Erlang/OTP. In this paper, the evolution of the core architecture of the system, designed for improving resource modelling, is de...
Juan José Sánchez Penas, Carlos Abal...
DAC
1997
ACM
14 years 3 months ago
An Improved Algorithm for Minimum-Area Retiming
The concept of improving the timing behavior of a circuit by relocating flip-flops is called retiming and was first presented by Leiserson and Saxe. The ASTRA algorithm propose...
Naresh Maheshwari, Sachin S. Sapatnekar
ISSS
1996
IEEE
123views Hardware» more  ISSS 1996»
14 years 3 months ago
Memory Organization for Improved Data Cache Performance in Embedded Processors
Code generation for embedded processors creates opportunities for several performance optimizations not applicable for traditional compilers. We present techniques for improving d...
Preeti Ranjan Panda, Nikil D. Dutt, Alexandru Nico...