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» Local Search Algorithms for SAT: An Empirical Evaluation
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PR
2008
131views more  PR 2008»
14 years 11 months ago
A memetic algorithm for evolutionary prototype selection: A scaling up approach
Prototype selection problem consists of reducing the size of databases by removing samples that are considered noisy or not influential on nearest neighbour classification tasks. ...
Salvador García, José Ramón C...
CEC
2010
IEEE
15 years 27 days ago
A novel memetic algorithm for constrained optimization
In this paper, we present a memetic algorithm with novel local optimizer hybridization strategy for constrained optimization. The developed MA consists of multiple cycles. In each ...
Jianyong Sun, Jonathan M. Garibaldi
IJCAI
1993
15 years 1 months ago
Evolutionary Learning Strategy using Bug-Based Search
We introduce a new approach to GA (Genetic Algorithms) based problem solving. Earlier GAs did not contain local search (i.e. hill climbing) mechanisms, which led to optimization d...
Hitoshi Iba, Tetsuya Higuchi, Hugo de Garis, Taisu...
CIKM
2009
Springer
15 years 6 months ago
Utilizing inter-passage and inter-document similarities for re-ranking search results
We present a novel language-model-based approach to reranking an initially retrieved list so as to improve precision at top ranks. Our model integrates whole-document information ...
Eyal Krikon, Oren Kurland, Michael Bendersky
PPSN
2000
Springer
15 years 3 months ago
Using Dynastic Exploring Recombination to Promote Diversity in Genetic Search
A family of recombination operators is studied in this work. These operators are based on keeping and using certain information about the past evolution of the algorithm to guide t...
Carlos Cotta, José M. Troya