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COMPLEXITY
2008
84views more  COMPLEXITY 2008»
13 years 10 months ago
Evolutionary learning of small networks
Results are presented of a simulation which mimics an evolutionary learning process for small networks. Special features of these networks include a high recurrency, a transition ...
Thomas Filk, Albrecht von Müller
ML
2010
ACM
119views Machine Learning» more  ML 2010»
13 years 8 months ago
A cooperative coevolutionary algorithm for instance selection for instance-based learning
This paper presents a cooperative evolutionary approach for the problem of instance selection for instance based learning. The presented model takes advantage of one of the most r...
Nicolás García-Pedrajas, Juan Antoni...
SIGCSE
2009
ACM
119views Education» more  SIGCSE 2009»
14 years 10 months ago
Implications of integrating test-driven development into CS1/CS2 curricula
Many academic and industry professionals have called for more testing in computer science curricula. Test-driven development (TDD) has been proposed as a solution to improve testi...
Chetan Desai, David S. Janzen, John Clements
GECCO
2007
Springer
183views Optimization» more  GECCO 2007»
14 years 1 months ago
Evolving distributed agents for managing air traffic
Air traffic management offers an intriguing real world challenge to designing large scale distributed systems using evolutionary computation. The ability to evolve effective air t...
Adrian K. Agogino, Kagan Tumer
JUCS
2006
104views more  JUCS 2006»
13 years 9 months ago
Multi-Objective Evolutionary Algorithms and Pattern Search Methods for Circuit Design Problems
: The paper concerns the design of evolutionary algorithms and pattern search methods on two circuit design problems: the multi-objective optimization of an Operational Transconduc...
Tonio Biondi, Angelo Ciccazzo, Vincenzo Cutello, S...