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130
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GECCO
2006
Springer
174views Optimization» more  GECCO 2006»
15 years 8 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
130
Voted
AAAI
2008
15 years 7 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 7 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...
WWW
2004
ACM
16 years 5 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
106
Voted
CEC
2007
IEEE
15 years 11 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