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GECCO
2006
Springer
174views Optimization» more  GECCO 2006»
15 years 7 months ago
On the analysis of the (1+1) memetic algorithm
Memetic algorithms are evolutionary algorithms incorporating local search to increase exploitation. This hybridization has been fruitful in countless applications. However, theory...
Dirk Sudholt
AAAI
2008
15 years 6 months ago
How Good is Almost Perfect?
Heuristic search using algorithms such as A and IDA is the prevalent method for obtaining optimal sequential solutions for classical planning tasks. Theoretical analyses of these ...
Malte Helmert, Gabriele Röger
CVPR
2008
IEEE
16 years 6 months ago
Manifold learning using robust Graph Laplacian for interactive image search
Interactive image search or relevance feedback is the process which helps a user refining his query and finding difficult target categories. This consists in partially labeling a ...
Hichem Sahbi, Patrick Etyngier, Jean-Yves Audibert...
135
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WWW
2004
ACM
16 years 4 months ago
Small world peer networks in distributed web search
In ongoing research, a collaborative peer network application is being proposed to address the scalability limitations of centralized search engines. Here we introduce a local ada...
Ruj Akavipat, Le-Shin Wu, Filippo Menczer
CEC
2007
IEEE
15 years 10 months ago
Indicator-based multi-objective local search
— This paper presents a simple and generic indicator-based multi-objective local search. This algorithm is a direct extension of the IBEA algorithm, an indicatorbased evolutionar...
Matthieu Basseur, Edmund K. Burke