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» Some Results on Effective Randomness
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GECCO
2006
Springer
132views Optimization» more  GECCO 2006»
15 years 10 months ago
Combining genetic algorithms with squeaky-wheel optimization
The AI optimization algorithm called "Squeaky-Wheel Optimization" (SWO) has proven very effective in a variety of real-world applications. Although the ideas behind SWO ...
Justin Terada, Hoa Vo, David Joslin
JSAT
2010
132views more  JSAT 2010»
15 years 1 months ago
The Impact of Max-SAT Resolution-Based Preprocessors on Local Search Solvers
In this paper we analyze three well-known preprocessors for Max-SAT. The first preprocessor is based on the so-called variable saturation. The second preprocessor is based on the ...
Federico Heras, David Bañeres
IEE
2002
72views more  IEE 2002»
15 years 6 months ago
Making inferences with small numbers of training sets
This paper discusses a potential methodological problem with empirical studies assessing project effort prediction systems. Frequently a hold-out strategy is deployed so that the ...
Colin Kirsopp, Martin J. Shepperd
EWSN
2006
Springer
15 years 10 months ago
An Empirical Characterization of Radio Signal Strength Variability in 3-D IEEE 802.15.4 Networks Using Monopole Antennas
The wide availability of radio signal strength attenuation information on wireless radios has received considerable attention as a convenient means of deriving positioning informat...
Dimitrios Lymberopoulos, Quentin Lindsey, Andreas ...
IJCAI
2007
15 years 8 months ago
Using Learned Policies in Heuristic-Search Planning
Many current state-of-the-art planners rely on forward heuristic search. The success of such search typically depends on heuristic distance-to-the-goal estimates derived from the ...
Sung Wook Yoon, Alan Fern, Robert Givan