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101
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GECCO
2009
Springer
200views Optimization» more  GECCO 2009»
15 years 9 months ago
Optimization of the trading rule in foreign exchange using genetic algorithm
The generation of profitable trading rules for Foreign Exchange (FX) investments is a difficult but popular problem. The use of Machine Learning in this problem allows us to obtai...
Akinori Hirabayashi, Claus de Castro Aranha, Hitos...
125
Voted
CSCLP
2004
Springer
15 years 8 months ago
Characterization of a New Restart Strategy for Randomized Backtrack Search
We propose an improved restart strategy for randomized backtrack search, and evaluate its performance by comparing to other heuristic and stochastic search techniques for solving r...
Venkata Praveen Guddeti, Berthe Y. Choueiry
120
Voted
ENTCS
2006
136views more  ENTCS 2006»
15 years 2 months ago
Adaptive Application of SAT Solving Techniques
New heuristics and strategies have enabled major advancements in SAT solving in recent years. However, experimentation has shown that there is no winning solution that works in al...
Ohad Shacham, Karen Yorav
CP
2007
Springer
15 years 8 months ago
Structural Relaxations by Variable Renaming and Their Compilation for Solving MinCostSAT
Searching for optimal solutions to a problem using lower bounds obtained from a relaxation is a common idea in Heuristic Search and Planning. In SAT and CSPs, however, explicit rel...
Miquel Ramírez, Hector Geffner
125
Voted
EVOW
2007
Springer
15 years 8 months ago
Exact/Heuristic Hybrids Using rVNS and Hyperheuristics for Workforce Scheduling
In this paper we study a complex real-world workforce scheduling problem. We propose a method of splitting the problem into smaller parts and solving each part using exhaustive sea...
Stephen Remde, Peter I. Cowling, Keshav P. Dahal, ...