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GECCO
2010
Springer
195views Optimization» more  GECCO 2010»
15 years 10 months ago
GPU-based island model for evolutionary algorithms
The island model for evolutionary algorithms allows to delay the global convergence of the evolution process and encourage diversity. However, solving large size and time-intensiv...
Thé Van Luong, Nouredine Melab, El-Ghazali ...
GECCO
2008
Springer
148views Optimization» more  GECCO 2008»
15 years 7 months ago
Combining cartesian genetic programming with an estimation of distribution algorithm
This paper describes initial testing of a novel idea to combine a CGP with an EDA. In recent work a new improved crossover technique was successfully applied to a CGP. To implemen...
Janet Clegg
GECCO
2007
Springer
185views Optimization» more  GECCO 2007»
16 years 24 days ago
SNDL-MOEA: stored non-domination level MOEA
There exist a number of high-performance Multi-Objective Evolutionary Algorithms (MOEAs) for solving MultiObjective Optimization (MOO) problems; two of the best are NSGA-II and -M...
Matt D. Johnson, Daniel R. Tauritz, Ralph W. Wilke...
WSC
2000
15 years 8 months ago
A practical approach to sample-path simulation optimization
We propose solving continuous parametric simulation optimizations using a deterministic nonlinear optimization algorithm and sample-path simulations. The optimization problem is w...
Michael C. Ferris, Todd S. Munson, Krung Sinapirom...
ICIAP
2005
ACM
16 years 4 days ago
Markovian Energy-Based Computer Vision Algorithms on Graphics Hardware
This paper shows how Markovian segmentation algorithms used to solve well known computer vision problems such as motion estimation, motion detection and stereovision can be signiï¬...
Pierre-Marc Jodoin, Max Mignotte, Jean-Franç...