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GECCO
2009
Springer
127views Optimization» more  GECCO 2009»
9 years 6 months ago
BBOB-benchmarking the Rosenbrock's local search algorithm
The restarted Rosenbrock’s optimization algorithm is tested on the BBOB 2009 testbed. The algorithm turned out to be very efficient for functions with simple structure (independ...
Petr Posik
GECCO
2009
Springer
128views Optimization» more  GECCO 2009»
9 years 6 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
103views Optimization» more  GECCO 2009»
9 years 6 months ago
Parallel latent semantic analysis using a graphics processing unit
Joseph M. Cavanagh, Thomas E. Potok, Xiaohui Cui
GECCO
2009
Springer
159views Optimization» more  GECCO 2009»
9 years 6 months ago
Bayesian network structure learning using cooperative coevolution
We propose a cooperative-coevolution – Parisian trend – algorithm, IMPEA (Independence Model based Parisian EA), to the problem of Bayesian networks structure estimation. It i...
Olivier Barrière, Evelyne Lutton, Pierre-He...
GECCO
2009
Springer
193views Optimization» more  GECCO 2009»
9 years 6 months ago
Optimization of dynamic memory managers for embedded systems using grammatical evolution
New portable consumer embedded devices must execute multimedia applications (e.g., 3D games, video players and signal processing software, etc.) that demand extensive memory acces...
José L. Risco-Martín, David Atienza,...
GECCO
2009
Springer
153views Optimization» more  GECCO 2009»
9 years 6 months ago
An evaporation mechanism for dynamic and noisy multimodal optimization
Dealing with imprecise information is a common characteristic in real-world problems. Specifically, when the source of the information are physical sensors, a level of noise in t...
Jose Luis Fernandez-Marquez, Josep Lluís Ar...
GECCO
2009
Springer
9 years 6 months ago
Problem decomposition using indirect reciprocity in evolved populations
Evolutionary problem decomposition techniques divide a complex problem into simpler subproblems, evolve individuals to produce subcomponents that solve the subproblems, and then a...
Heather Goldsby, Sherri Goings, Jeff Clune, Charle...
GECCO
2009
Springer
129views Optimization» more  GECCO 2009»
9 years 6 months ago
Automatic detection of software defects: an industrial experience
Sergio Gandini, Danilo Ravotto, Walter Ruzzarin, E...
GECCO
2009
Springer
199views Optimization» more  GECCO 2009»
9 years 6 months ago
Using behavioral exploration objectives to solve deceptive problems in neuro-evolution
Encouraging exploration, typically by preserving the diversity within the population, is one of the most common method to improve the behavior of evolutionary algorithms with dece...
Jean-Baptiste Mouret, Stéphane Doncieux
GECCO
2009
Springer
119views Optimization» more  GECCO 2009»
9 years 6 months ago
Cooperative micro-differential evolution for high-dimensional problems
High–dimensional optimization problems appear very often in demanding applications. Although evolutionary algorithms constitute a valuable tool for solving such problems, their ...
Konstantinos E. Parsopoulos
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