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» Hybrid Optimizations: Which Optimization Algorithm to Use
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ICMCS
2007
IEEE
194views Multimedia» more  ICMCS 2007»
16 years 14 days 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»
15 years 10 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»
15 years 10 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
15 years 11 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
16 years 15 days 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 ...