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» Hybrid Optimizations: Which Optimization Algorithm to Use
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ICMCS
2007
IEEE
194views Multimedia» more  ICMCS 2007»
14 years 4 months ago
Automatically Tuning Background Subtraction Parameters using Particle Swarm Optimization
A common trait of background subtraction algorithms is that they have learning rates, thresholds, and initial values that are hand-tuned for a scenario in order to produce the des...
Brandyn White, Mubarak Shah
GECCO
2009
Springer
128views Optimization» more  GECCO 2009»
14 years 3 months ago
Particle swarm hybridized with differential evolution: black box optimization benchmarking for noisy functions
In this work we evaluate a Particle Swarm Optimizer hybridized with Differential Evolution and apply it to the BlackBox Optimization Benchmarking for noisy functions (BBOB 2009)....
José García-Nieto, Enrique Alba, Jav...
GECCO
2009
Springer
114views Optimization» more  GECCO 2009»
14 years 3 months ago
Noiseless functions black-box optimization: evaluation of a hybrid particle swarm with differential operators
In this work we evaluate a Particle Swarm Optimizer hybridized with Differential Evolution and apply it to the BlackBox Optimization Benchmarking for noiseless functions (BBOB 20...
José García-Nieto, Enrique Alba, Jav...
IPPS
2002
IEEE
14 years 3 months ago
Optimizing Graph Algorithms for Improved Cache Performance
Tiling has long been used to improve cache performance. Recursion has recently been used as a cache-oblivious method of improving cache performance. Both of these techniques are n...
Joon-Sang Park, Michael Penner, Viktor K. Prasanna
CEC
2007
IEEE
14 years 4 months ago
SAT-decoding in evolutionary algorithms for discrete constrained optimization problems
— For complex optimization problems, several population-based heuristics like Multi-Objective Evolutionary Algorithms have been developed. These algorithms are aiming to deliver ...
Martin Lukasiewycz, Michael Glaß, Christian ...