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IJCNN
2000
IEEE
14 years 2 months ago
Regression Analysis for Rival Penalized Competitive Learning Binary Tree
The main aim of this paper is to develop a suitable regression analysis model for describing the relationship between the index efficiency and the parameters of the Rival Penaliz...
Xuequn Li, Irwin King
COCOA
2009
Springer
14 years 4 months ago
Recoverable Robust Timetables on Trees
In the context of scheduling and timetabling, we study a challenging combinatorial problem which is very interesting for both practical and theoretical points of view. The motivati...
Gianlorenzo D'Angelo, Gabriele Di Stefano, Alfredo...
HYBRID
1998
Springer
14 years 2 months ago
High Order Eigentensors as Symbolic Rules in Competitive Learning
We discuss properties of high order neurons in competitive learning. In such neurons, geometric shapes replace the role of classic `point' neurons in neural networks. Complex ...
Hod Lipson, Hava T. Siegelmann
GECCO
2007
Springer
168views Optimization» more  GECCO 2007»
14 years 4 months ago
Stability in the self-organized evolution of networks
The modeling and analysis of large networks of autonomous agents is an important topic with applications in many different disciplines. One way of modeling the development of such...
Thomas Jansen, Madeleine Theile
GECCO
2007
Springer
181views Optimization» more  GECCO 2007»
14 years 4 months ago
A study on metamodeling techniques, ensembles, and multi-surrogates in evolutionary computation
Surrogate-Assisted Memetic Algorithm(SAMA) is a hybrid evolutionary algorithm, particularly a memetic algorithm that employs surrogate models in the optimization search. Since mos...
Dudy Lim, Yew-Soon Ong, Yaochu Jin, Bernhard Sendh...