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» Evolutionary Algorithms for the Satisfiability Problem
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144
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CEC
2007
IEEE
15 years 7 months ago
Virtual reality high dimensional objective spaces for multi-objective optimization: An improved representation
This paper presents an approach for constructing improved visual representations of high dimensional objective spaces using virtual reality. These spaces arise from the solution of...
Julio J. Valdés, Alan J. Barton, Robert Orc...
125
Voted
SEMWEB
2010
Springer
15 years 1 months ago
Finding the Achilles Heel of the Web of Data: Using Network Analysis for Link-Recommendation
Abstract. The Web of Data is increasingly becoming an important infrastructure for such diverse sectors as entertainment, government, ecommerce and science. As a result, the robust...
Christophe Guéret, Paul T. Groth, Frank van...
111
Voted
CEC
2011
IEEE
14 years 3 months ago
Effective ranking + speciation = Many-objective optimization
—Multiobjective optimization problems have been widely addressed using evolutionary computation techniques. However, when dealing with more than three conflicting objectives (th...
Mario Garza-Fabre, Gregorio Toscano Pulido, Carlos...
129
Voted
DAC
2001
ACM
16 years 4 months ago
Chaff: Engineering an Efficient SAT Solver
Boolean Satisfiability is probably the most studied of combinatorial optimization/search problems. Significant effort has been devoted to trying to provide practical solutions to ...
Matthew W. Moskewicz, Conor F. Madigan, Ying Zhao,...
133
Voted
BMCBI
2010
110views more  BMCBI 2010»
15 years 3 months ago
Discovering local patterns of co - evolution: computational aspects and biological examples
Background: Co-evolution is the process in which two (or more) sets of orthologs exhibit a similar or correlative pattern of evolution. Co-evolution is a powerful way to learn abo...
Tamir Tuller, Yifat Felder, Martin Kupiec