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WSCG
2003
223views more  WSCG 2003»
13 years 8 months ago
Optimizing Parameters of a Motion Detection System by Means of a Genetic Algorithm
Visual surveillance and monitoring have aroused interest in the computer video community for many years. The main task of these applications is to identify (and track) moving targ...
Alessandro Bevilacqua
ICEC
1994
107views more  ICEC 1994»
13 years 8 months ago
Genetic Algorithms and Discrete Event Systems: An Application
: In this paper we propose an approach for discrete event systems control optimization, based on the theory developed by Ramadge and Wonham and on the Limited Lookahead Policy stra...
Ricardo R. Gudwin, Fernando A. C. Gomide
GECCO
2010
Springer
174views Optimization» more  GECCO 2010»
13 years 10 months ago
Real-coded genetic algorithm benchmarked on noiseless black-box optimization testbed
Genetic algorithms—a class of stochastic population-based optimization techniques—have been widely realized as the effective tools to solve complicated optimization problems ...
Thanh-Do Tran, Gang-Gyoo Jin
GECCO
2010
Springer
188views Optimization» more  GECCO 2010»
13 years 10 months ago
Benchmarking real-coded genetic algorithm on noisy black-box optimization testbed
Originally, genetic algorithms were developed based on the binary representation of candidate solutions in which each conjectured solution is a fixed-length string of binary numb...
Thanh-Do Tran, Gang-Gyoo Jin
WSC
2007
13 years 9 months ago
Optimal scheduling of probabilistic repetitive projects using completed unit and genetic algorithms
In this paper we introduce the completed unit algorithm (CU-AL), a probabilistic scheduling methodology for repetitive projects. The algorithm has two main advantages, simplicity ...
Chachrist Srisuwanrat, Photios G. Ioannou