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IJON
2006
134views more  IJON 2006»
15 years 6 months ago
A new approach to fuzzy classifier systems and its application in self-generating neuro-fuzzy systems
A classifier system is a machine learning system that learns syntactically simple string rules (called classifiers) through a genetic algorithm to guide its performance in an arbi...
Mu-Chun Su, Chien-Hsing Chou, Eugene Lai, Jonathan...
IJHIS
2007
89views more  IJHIS 2007»
15 years 6 months ago
A new hybrid heuristic for driver scheduling
This paper describes a new hybrid method based on the application of the Population Training Algorithm (PTA) and linear programming (LP) for generation of schedules for drivers in...
Geraldo R. Mauri, Luiz Antonio Nogueira Lorena
CEC
2007
IEEE
16 years 21 days ago
How well do multi-objective evolutionary algorithms scale to large problems
Abstract— In spite of large amount of research work in multiobjective evolutionary algorithms, most have evaluated their algorithms on problems with only two to four objectives. ...
Kata Praditwong, Xin Yao
EOR
2008
78views more  EOR 2008»
15 years 6 months ago
Discounted MEAN bound for the optimal searcher path problem with non-uniform travel times
We consider an extension of the optimal searcher path problem (OSP), where a searcher moving through a discretised environment may now need to spend a nonuniform amount of time tr...
Haye Lau, Shoudong Huang, Gamini Dissanayake
ICDAR
2005
IEEE
15 years 12 months ago
A Hierarchical Classifier Using New Support Vector Machine
A binary hierarchical classifier is proposed to solve the multi-class classification problem. We also require rejection of non-target inputs, which thus producing a very difficult...
Yu-Chiang Frank Wang, David Casasent