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» Metaphor for learning: an evolutionary algorithm
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EUSFLAT
2003
165views Fuzzy Logic» more  EUSFLAT 2003»
13 years 9 months ago
Genetic fuzzy systems to evolve coordination strategies in competitive distributed systems
This paper suggests an evolutionary approach to design coordination strategies, a key issue in distributed intelligent systems. We focus on competitive strategies in the form of f...
Igor Walter, Fernando A. C. Gomide
GECCO
1999
Springer
133views Optimization» more  GECCO 1999»
13 years 12 months ago
Evolution of Goal-Directed Behavior from Limited Information in a Complex Environment
In this paper, we apply an evolutionary algorithm to learning behavior on a novel, interesting task to explore the general issue of learning e ective behaviors in a complex enviro...
Matthew R. Glickman, Katia P. Sycara
CORR
2004
Springer
208views Education» more  CORR 2004»
13 years 7 months ago
Business Intelligence from Web Usage Mining
The rapid e-commerce growth has made both business community and customers face a new situation. Due to intense competition on the one hand and the customer's option to choose...
Ajith Abraham
GECCO
2005
Springer
141views Optimization» more  GECCO 2005»
14 years 1 months ago
Constructing good learners using evolved pattern generators
Self-organization of brain areas in animals begins prenatally, evidently driven by spontaneously generated internal patterns. The neural structures continue to develop postnatally...
Vinod K. Valsalam, James A. Bednar, Risto Miikkula...
GECCO
2007
Springer
184views Optimization» more  GECCO 2007»
14 years 1 months ago
ECGA vs. BOA in discovering stock market trading experts
This paper presents two evolutionary algorithms, ECGA and BOA, applied to constructing stock market trading expertise, which is built on the basis of a set of specific trading ru...
Piotr Lipinski