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TSMC
2002
137views more  TSMC 2002»
13 years 7 months ago
An evolutionary tabu search for cell image segmentation
Many problems in practically all fields of science, engineering and technology involve global optimization. It becomes more and more important to develop the efficient global opti...
Tianzi Jiang, Faguo Yang
CEC
2007
IEEE
14 years 2 months ago
Towards a generic control strategy for Evolutionary Algorithms: an adaptive fuzzy-learning approach
— This paper presents a new method to generalize strategies in order to control parameters of Evolutionary Algorithms (EAs). A learning process establishes the relationship betwe...
Jorge Maturana, Frédéric Saubion
FCCM
2005
IEEE
124views VLSI» more  FCCM 2005»
14 years 1 months ago
Parallel Hardware Implementation of Cellular Learning Automata Based Evolutionary Computing (CLA-EC) on FPGA
The CLA-EC is a model obtained by combining the concepts of cellular learning automata and evolutionary algorithms. The parallel structure of the CLA-EC makes it suitable for hard...
Arash Hariri, Reza Rastegar, Morteza Saheb Zamani,...
ADBIS
2005
Springer
100views Database» more  ADBIS 2005»
14 years 1 months ago
Evolutionary Learning of Boolean Queries by Genetic Programming
Abstract. The performance of an information retrieval system is usually measured in terms of two different criteria, precision and recall. This way, the optimization of any of its...
Suhail S. J. Owais, Pavel Krömer, Václ...
IWANN
2005
Springer
14 years 1 months ago
A Comparison of Evolutionary Approaches to the Shortest Common Supersequence Problem
The Shortest Common Supersequence problem is a hard combinatorial optimization problem with numerous practical applications. Several evolutionary approaches are proposed for this p...
Carlos Cotta