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GECCO
2007
Springer
276views Optimization» more  GECCO 2007»
16 years 29 days ago
Meta-optimizing semantic evolutionary search
I present MOSES (meta-optimizing semantic evolutionary search), a new probabilistic modeling (estimation of distribution) approach to program evolution. Distributions are not esti...
Moshe Looks
ICTAI
2006
IEEE
16 years 26 days ago
Efficient Search Using Bitboard Models
This paper shows a way to speed up search by using an encoding at bit level to model a particular domain. A bitboard is an unsigned integer whose bits have been given an interpret...
Pablo San Segundo, Ramón Galán, Fern...
APWEB
2004
Springer
16 years 6 days ago
Semantic, Hierarchical, Online Clustering of Web Search Results
Today, search engine is the most commonly used tool for Web information retrieval, however, its current status is still far from satisfaction. This paper focuses on clustering Web...
Dell Zhang, Yisheng Dong
GECCO
2004
Springer
16 years 6 days ago
Systematic Integration of Parameterized Local Search Techniques in Evolutionary Algorithms
Application-specific, parameterized local search algorithms (PLSAs), in which optimization accuracy can be traded off with runtime, arise naturally in many optimization contexts....
Neal K. Bambha, Shuvra S. Bhattacharyya, Jürg...
IPTPS
2004
Springer
16 years 5 days ago
The Case for a Hybrid P2P Search Infrastructure
Popular P2P file-sharing systems like Gnutella and Kazaa use unstructured network designs. These networks typically adopt flooding-based search techniques to locate files. Whil...
Boon Thau Loo, Ryan Huebsch, Ion Stoica, Joseph M....