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» Evaluation of a Catalytic Search Algorithm
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GECCO
2004
Springer
155views Optimization» more  GECCO 2004»
15 years 3 months ago
Genetic Network Programming with Reinforcement Learning and Its Performance Evaluation
A new graph-based evolutionary algorithm named “Genetic Network Programming, GNP” has been proposed. GNP represents its solutions as directed graph structures, which can improv...
Shingo Mabu, Kotaro Hirasawa, Jinglu Hu
INFSOF
2008
85views more  INFSOF 2008»
14 years 9 months ago
Locating dependence structures using search-based slicing
This paper introduces an approach to locating dependence structures in a program by searching the space of the powerset of the set of all possible program slices. The paper formul...
Tao Jiang, Nicolas Gold, Mark Harman, Zheng Li
ACG
2006
Springer
15 years 3 months ago
Automatic Generation of Search Engines
A plethora of enhancements are available to be used together with the αβ search algorithm. There are so many, that their selection and implementation is a non-trivial task, even ...
Markian Hlynka, Jonathan Schaeffer
SIGIR
2006
ACM
15 years 3 months ago
Improving web search ranking by incorporating user behavior information
We show that incorporating user behavior data can significantly improve ordering of top results in real web search setting. We examine alternatives for incorporating feedback into...
Eugene Agichtein, Eric Brill, Susan T. Dumais
LCTRTS
2010
Springer
14 years 7 months ago
Improving both the performance benefits and speed of optimization phase sequence searches
The issues of compiler optimization phase ordering and selection present important challenges to compiler developers in several domains, and in particular to the speed, code size,...
Prasad A. Kulkarni, Michael R. Jantz, David B. Wha...