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EC
2008
120views ECommerce» more  EC 2008»
15 years 3 months ago
Genetic Algorithms with Memory- and Elitism-Based Immigrants in Dynamic Environments
In recent years the genetic algorithm community has shown a growing interest in studying dynamic optimization problems. Several approaches have been devised. The random immigrants...
Shengxiang Yang
EOR
2006
135views more  EOR 2006»
15 years 3 months ago
Principles of scatter search
Scatter search is an evolutionary method that has been successfully applied to hard optimization problems. The fundamental concepts and principles of the method were first propose...
Rafael Martí, Manuel Laguna, Fred Glover
SIGIR
2008
ACM
15 years 3 months ago
A study of methods for negative relevance feedback
Negative relevance feedback is a special case of relevance feedback where we do not have any positive example; this often happens when the topic is difficult and the search result...
Xuanhui Wang, Hui Fang, ChengXiang Zhai
140
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IJPP
2011
115views more  IJPP 2011»
14 years 6 months ago
Milepost GCC: Machine Learning Enabled Self-tuning Compiler
Tuning compiler optimizations for rapidly evolving hardware makes porting and extending an optimizing compiler for each new platform extremely challenging. Iterative optimization i...
Grigori Fursin, Yuriy Kashnikov, Abdul Wahid Memon...
ANCS
2009
ACM
15 years 1 months ago
LaFA: lookahead finite automata for scalable regular expression detection
Although Regular Expressions (RegExes) have been widely used in network security applications, their inherent complexity often limits the total number of RegExes that can be detec...
Masanori Bando, N. Sertac Artan, H. Jonathan Chao