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GASAT: A Genetic Local Search Algorithm for the Satisfiability Problem
TLDR
We present GASAT, a hybrid algorithm for the satisfiability problem (SAT) which combines local search and genetic search. Expand
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A Compass to Guide Genetic Algorithms
TLDR
Parameter control is a key issue to enhance performances of Genetic Algorithms (GA). Expand
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Extreme compass and Dynamic Multi-Armed Bandits for Adaptive Operator Selection
TLDR
The goal of Adaptive Operator Selection is the on-line control of the choice of variation operators within Evolutionary Algorithms. Expand
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GADEL: a Genetic Algorithm to Compute Default Logic Extensions
TLDR
This paper presents a new methodology to implement an automated default reasoning system based on Genetic Algorithms techniques. Expand
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On Evaluation Methodologies for Text Segmentation Algorithms
TLDR
The WindowDiff evaluation measure (Pevzner and Hearst, 2002) is becoming the standard criterion for evaluating text segmentation methods. Expand
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SegGen: A Genetic Algorithm for Linear Text Segmentation
TLDR
This paper describes SegGen, a new algorithm for linear text segmentation on general corpuses. Expand
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Using an Evolving Thematic Clustering in a Text Segmentation Process
TLDR
The thematic text segmentation task consists in identifying the most im- portant thematic breaks in a document in order to cut it into homogeneous passages. Expand
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Tailoring a Mixture of Search Heuristics
Problem solvers have at their disposal many heuristics that may support effective search. The efficacy of these heuristics, however, varies with the problem class, and their mutual interactions mayExpand
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Autonomous operator management for evolutionary algorithms
TLDR
We propose a new technique to dynamically control the behavior of operators in an EA and to manage a large set of potential operators. Expand
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On Hybridization of Local Search and Constraint Propagation
TLDR
We propose a theoretical model based on K.R. Apt’s chaotic iterations for hybridization of local search and constraint propagation. Expand
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