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» Implementing Optimizations at Decode Time
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EMO
2005
Springer
110views Optimization» more  EMO 2005»
14 years 1 months ago
Parallelization of Multi-objective Evolutionary Algorithms Using Clustering Algorithms
Abstract. While Single-Objective Evolutionary Algorithms (EAs) parallelization schemes are both well established and easy to implement, this is not the case for Multi-Objective Evo...
Felix Streichert, Holger Ulmer, Andreas Zell
GECCO
1999
Springer
100views Optimization» more  GECCO 1999»
14 years 17 days ago
Plasma X-ray Spectra Analysis Using Genetic Algorithms
X-ray spectroscopic analysis is a powerful tool for plasma diagnostics. We use genetic algorithms to automatically analyze experimental X-ray line spectra and discuss a particular...
Igor E. Golovkin, Roberto C. Mancini, Sushil J. Lo...
GECCO
2000
Springer
104views Optimization» more  GECCO 2000»
13 years 12 months ago
Quadratic Bloat in Genetic Programming
In earlier work we predicted program size would grow in the limit at a quadratic rate and up to fty generations we measured bloat O(generations1:2;1:5). On two simple benchmarks w...
William B. Langdon
ICDE
2009
IEEE
149views Database» more  ICDE 2009»
14 years 10 months ago
Online Tuning of Aggregation Tables for OLAP
Materializing results from complex aggregation queries helps to significantly improve response times in OLAP servers. This problem is known as the view selection problem: choosing ...
Katja Hose, Daniel Klan, Kai-Uwe Sattler
IEEECIT
2005
IEEE
14 years 1 months ago
Feedback Scheduling for Resource-Constrained Real-time Control Systems
Subject to limited computational resource, feedback scheduling aims to improve, or to optimize, the global control performance of real-time control systems. For the system that co...
Pingfang Zhou, Jianying Xie