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» An evolutionary method for complex-process optimization
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GECCO
2005
Springer
131views Optimization» more  GECCO 2005»
15 years 6 months ago
Statistical analysis of heuristics for evolving sorting networks
Designing efficient sorting networks has been a challenging combinatorial optimization problem since the early 1960’s. The application of evolutionary computing to this problem ...
Lee K. Graham, Hassan Masum, Franz Oppacher
104
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GECCO
2000
Springer
106views Optimization» more  GECCO 2000»
15 years 4 months ago
A Genetic Segmentation Algorithm for Image Data Streams and Video
We describe a genetic segmentation algorithm for image data streams and video. This algorithm operates on segments of a string representation. It is similar to both classical gene...
Patrick Chiu, Andreas Girgensohn, Wolfgang Polak, ...
GECCO
2008
Springer
141views Optimization» more  GECCO 2008»
15 years 1 months ago
Co-optimization algorithms
While coevolution has many parallels to natural evolution, methods other than those based on evolutionary principles may be used in the interactive fitness setting. In this paper...
Travis C. Service, Daniel R. Tauritz
GECCO
2008
Springer
183views Optimization» more  GECCO 2008»
15 years 1 months ago
UMDAs for dynamic optimization problems
This paper investigates how the Univariate Marginal Distribution Algorithm (UMDA) behaves in non-stationary environments when engaging in sampling and selection strategies designe...
Carlos M. Fernandes, Cláudio F. Lima, Agost...
120
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CEC
2009
IEEE
15 years 7 months ago
Enhancing MOEA/D with guided mutation and priority update for multi-objective optimization
—Multi-objective optimization is an essential and challenging topic in the domains of engineering and computation because real-world problems usually include several conflicting...
Chih-Ming Chen, Ying-Ping Chen, Qingfu Zhang