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» Hybrid Optimizations: Which Optimization Algorithm to Use
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GECCO
2008
Springer
165views Optimization» more  GECCO 2008»
15 years 5 months ago
Dual-population genetic algorithm for nonstationary optimization
In order to solve nonstationary optimization problems efficiently, evolutionary algorithms need sufficient diversity to adapt to environmental changes. The dual-population genetic...
Taejin Park, Ri Choe, Kwang Ryel Ryu
INFOCOM
2011
IEEE
14 years 8 months ago
Optimal sampling algorithms for frequency estimation in distributed data
—Consider a distributed system with n nodes where each node holds a multiset of items. In this paper, we design sampling algorithms that allow us to estimate the global frequency...
Zengfeng Huang, Ke Yi, Yunhao Liu, Guihai Chen
JGO
2010
112views more  JGO 2010»
15 years 3 months ago
An information global minimization algorithm using the local improvement technique
In this paper, the global optimization problem with an objective function that is multiextremal that satisfies the Lipschitz condition over a hypercube is considered. An algorithm...
Daniela Lera, Yaroslav D. Sergeyev
PPSN
2000
Springer
15 years 8 months ago
Optimizing through Co-evolutionary Avalanches
Abstract. We explore a new general-purpose heuristic for nding highquality solutions to hard optimization problems. The method, called extremal optimization, is inspired by self-or...
Stefan Boettcher, Allon G. Percus, Michelangelo Gr...
PLDI
2003
ACM
15 years 10 months ago
A comparison of empirical and model-driven optimization
Empirical program optimizers estimate the values of key optimization parameters by generating different program versions and running them on the actual hardware to determine which...
Kamen Yotov, Xiaoming Li, Gang Ren, Michael Cibuls...