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» Evolutionary Computation for Modeling and Optimization
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GECCO
2006
Springer
178views Optimization» more  GECCO 2006»
15 years 8 months ago
Adaptively choosing niching parameters in a PSO
Niching techniques play an important role in evolutionary algorithms. Existing niching methods often require userspecified parameters, limiting their usefulness. This paper propos...
Stefan Bird, Xiaodong Li
FOCS
2009
IEEE
15 years 12 months ago
A Complete Characterization of Statistical Query Learning with Applications to Evolvability
Statistical query (SQ) learning model of Kearns is a natural restriction of the PAC learning model in which a learning algorithm is allowed to obtain estimates of statistical prop...
Vitaly Feldman
GECCO
2007
Springer
186views Optimization» more  GECCO 2007»
15 years 11 months ago
A multi-objective approach for the prediction of loan defaults
Credit institutions are seldom faced with problems dealing with single objectives. Often, decisions involving optimizing two or more competing goals simultaneously need to be made...
Oluwarotimi Odeh, Praveen Koduru, Sanjoy Das, Alle...
174
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GECCO
2011
Springer
247views Optimization» more  GECCO 2011»
14 years 8 months ago
An agent-based model of the effects of a primate social structure on the speed of natural selection
The rate of speciation is in most mammals an order of magnitude faster than in most other vertebrates. It is faster still in the social mammals. The apparent association between c...
Gideon M. Gluckman, Joanna Bryson
RSCTC
2000
Springer
126views Fuzzy Logic» more  RSCTC 2000»
15 years 8 months ago
Evolutionary Parsing for a Probabilistic Context Free Grammar
Abstract. Classic parsing methods are based on complete search techniques to find the different interpretations of a sentence. However, the size of the search space increases expon...
Lourdes Araujo