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GECCO
2005
Springer
137views Optimization» more  GECCO 2005»
16 years 11 days ago
Constant generation for the financial domain using grammatical evolution
This study reports the work to date on the analysis of different methodologies for constant creation with the aim of applying the most advantageous method to the dynamic real wor...
Ian Dempsey
GECCO
2005
Springer
100views Optimization» more  GECCO 2005»
16 years 11 days ago
The MaxSolve algorithm for coevolution
Coevolution can be used to adaptively choose the tests used for evaluating candidate solutions. A long-standing question is how this dynamic setup may be organized to yield reliab...
Edwin D. de Jong
177
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GECCO
2005
Springer
141views Optimization» more  GECCO 2005»
16 years 11 days ago
RABNET: a real-valued antibody network for data clustering
This paper proposes a novel constructive learning algorithm for a competitive neural network. The proposed algorithm is developed by taking ideas from the immune system and demons...
Helder Knidel, Leandro Nunes de Castro, Fernando J...
GECCO
2005
Springer
125views Optimization» more  GECCO 2005»
16 years 11 days ago
Improving EA-based design space exploration by utilizing symbolic feasibility tests
This paper will propose a novel approach in combining Evolutionary Algorithms with symbolic techniques in order to improve the convergence of the algorithm in the presence of larg...
Thomas Schlichter, Christian Haubelt, Jürgen ...
GECCO
2005
Springer
128views Optimization» more  GECCO 2005»
16 years 11 days ago
Collaborative interactive evolution
Interactive evolutionary computation (IEC) has proven useful in a variety of applications by combining the subjective evaluation of a user with the massive parallel search power o...
Sean R. Szumlanski, Annie S. Wu, Charles E. Hughes