2266 search results - page 160 / 454 » Evolutionary Algorithms for the Satisfiability Problem |
94
Voted
ICGA
1997
15 years 3 months ago
1997
Subset Feature Selection problems can have severalattributes which may make Messy Genetic Algorithms an appropriateoptimization method. First, competitive solutions may often use ...
129
Voted
EMO
2005
Springer
15 years 7 months ago
2005
Springer
Abstract. The hypervolume measure is one of the most frequently applied measures for comparing the results of evolutionary multiobjective optimization algorithms (EMOA). The idea t...
114
Voted
PPSN
1998
Springer
15 years 6 months ago
1998
Springer
This paper presents a novel evolutionary approach of approximating the shape of the Pareto-optimal set of multi-objective optimization problems. The evolutionary algorithm (EA) use...
120
Voted
IDEAL
2009
Springer
14 years 11 months ago
2009
Springer
This work is related to the KEEL1 (Knowledge Extraction based on Evolutionary Learning) tool, a non-commercial software that supports data management, design of experiments and an ...
SODA
2010
ACM
15 years 11 months ago
2010
ACM
We consider the following k-sparse recovery problem: design an m ? n matrix A, such that for any signal x, given Ax we can efficiently recover ^x satisfying