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» Information Operator Scheduling by Genetic Algorithms
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ICPR
2008
IEEE
14 years 8 months ago
Learning invariant region descriptor operators with genetic programming and the F-measure
Recognizing and localizing objects is a classical problem in computer vision that is an important stage for many automated systems. In order to perform object recognition many res...
Cynthia B. Pérez, Gustavo Olague
ICIC
2007
Springer
14 years 1 months ago
A Hybrid Electromagnetism-Like Algorithm for Single Machine Scheduling Problem
Electromagnetism-like algorithm (EM) is a population-based meta-heuristic which has been proposed to solve continuous problems effectively. In this paper, we present a new meta-h...
Shih-Hsin Chen, Pei-Chann Chang, Chien-Lung Chan, ...
WSC
2008
13 years 9 months ago
Simulation optimization for industrial scheduling using hybrid genetic representation
Simulation modeling has the capability to represent complex real-world systems in details and therefore it is suitable to develop simulation models for generating detailed operati...
Marcus Andersson, Amos Ng, Henrik Grimm
GECCO
2005
Springer
117views Optimization» more  GECCO 2005»
14 years 1 months ago
Directional self-learning of genetic algorithm
In order to overcome the low convergence speed and prematurity of classical genetic algorithm, an improved method named directional self-learning of genetic algorithm (DSLGA) is p...
Lin Cong, Yuheng Sha, Licheng Jiao, Fang Liu
SG
2005
Springer
14 years 1 months ago
Generation of Glyphs for Conveying Complex Information, with Application to Protein Representations
Abstract. We present a method to generate glyphs which convey complex information in graphical form. A glyph has a linear geometry which is specified using geometric operations, e...
Greg Pintilie, Brigitte Tuekam, Christopher W. V. ...