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ICANN
2001
Springer
15 years 11 months ago
A Computational Intelligence Approach to Optimization with Unknown Objective Functions
In many practical engineering design problems, the form of objective function is not given explicitly in terms of design variables. Given the value of design variables, under this ...
Hirotaka Nakayama, Masao Arakawa, Rie Sasaki
GECCO
1999
Springer
133views Optimization» more  GECCO 1999»
15 years 11 months ago
Forecasting the MagnetoEncephaloGram (MEG) of Epileptic Patients Using Genetically Optimized Neural Networks
In this work MagnetoEncephaloGram (MEG) recordings of epileptic patients were analyzed using a hybrid neural networks training algorithm. This algorithm combines genetic algorithm...
Adam V. Adamopoulos, Efstratios F. Georgopoulos, S...
TAPSOFT
1993
Springer
15 years 10 months ago
Optimal Reductions in Interaction Systems
Lamping's optimalgraph reduction technique for the -calculus is generalized to a new class of higher order rewriting systems, called Interaction Systems. Interaction Systems ...
Andrea Asperti, Cosimo Laneve
ANTSW
2006
Springer
15 years 10 months ago
Applying Aspects of Multi-robot Search to Particle Swarm Optimization
Abstract. We present a modified version of the Particle swarm Optimization algorithm in which we adjust the virtual swarm search by incorporating inter-agent dynamics native to mul...
Jim Pugh, Loïc Segapelli, Alcherio Martinoli
KDD
1995
ACM
98views Data Mining» more  KDD 1995»
15 years 10 months ago
Optimization and Simplification of Hierarchical Clusterings
Clustering is often used to discover structure in data. Clustering systems differ in the objective function used to evaluate clustering quality and the control strategy used to se...
Douglas Fisher