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GECCO
2003
Springer
126views Optimization» more  GECCO 2003»
14 years 26 days ago
Coevolution and Linear Genetic Programming for Visual Learning
In this paper, a novel genetically-inspired visual learning method is proposed. Given the training images, this general approach induces a sophisticated feature-based recognition s...
Krzysztof Krawiec, Bir Bhanu
CEC
2003
IEEE
14 years 29 days ago
Comparison of sampling sizes for the co-evolution of cooperative agents
Abstract -_The evolution of a heterogeneousteam behavior can he a very demanding task. In order to promote the greatest level of specialization team members should be evolved in se...
Gary B. Parker, H. Joseph Blumenthal
AE
2001
Springer
14 years 5 days ago
Cooperative Coevolution for Learning Fuzzy Rule-Based Systems
In the last few years, the coevolutionary paradigm has shown an increasing interest thanks to its high ability to manage huge search spaces. Particularly, the cooperative interacti...
Jorge Casillas, Oscar Cordón, Francisco Her...
CEC
2007
IEEE
14 years 2 months ago
Differential evolution for high-dimensional function optimization
— Most reported studies on differential evolution (DE) are obtained using low-dimensional problems, e.g., smaller than 100, which are relatively small for many real-world problem...
Zhenyu Yang, Ke Tang, Xin Yao
ECAL
2001
Springer
14 years 4 days ago
Pareto Optimality in Coevolutionary Learning
We develop a novel coevolutionary algorithm based upon the concept of Pareto optimality. The Pareto criterion is core to conventional multi-objective optimization (MOO) algorithms....
Sevan G. Ficici, Jordan B. Pollack