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GECCO
2009
Springer
175views Optimization» more  GECCO 2009»
14 years 4 months ago
Evolving soft robotic locomotion in PhysX
Given the complexity of the problem, genetic algorithms are one of the more promising methods of discovering control schemes for soft robotics. Since physically embodied evolution...
John Rieffel, Frank Saunders, Shilpa Nadimpalli, H...
GECCO
2009
Springer
114views Optimization» more  GECCO 2009»
14 years 4 months ago
AMaLGaM IDEAs in noiseless black-box optimization benchmarking
This paper describes the application of a Gaussian Estimation-of-Distribution (EDA) for real-valued optimization to the noiseless part of a benchmark introduced in 2009 called BBO...
Peter A. N. Bosman, Jörn Grahl, Dirk Thierens
GECCO
2009
Springer
109views Optimization» more  GECCO 2009»
14 years 4 months ago
A genetic algorithm for learning significant phrase patterns in radiology reports
Radiologists disagree with each other over the characteristics and features of what constitutes a normal mammogram and the terminology to use in the associated radiology report. R...
Robert M. Patton, Thomas E. Potok, Barbara G. Beck...
GECCO
2009
Springer
148views Optimization» more  GECCO 2009»
14 years 4 months ago
Benchmarking the NEWUOA on the BBOB-2009 noisy testbed
The NEWUOA which belongs to the class of DerivativeFree optimization algorithms is benchmarked on the BBOB2009 noisy testbed. A multistart strategy is applied with a maximum numbe...
Raymond Ros
GECCO
2009
Springer
141views Optimization» more  GECCO 2009»
14 years 4 months ago
Benchmarking sep-CMA-ES on the BBOB-2009 function testbed
A partly time and space linear CMA-ES is benchmarked on the BBOB-2009 noiseless function testbed. This algorithm with a multistart strategy with increasing population size solves ...
Raymond Ros
GECCO
2009
Springer
105views Optimization» more  GECCO 2009»
14 years 4 months ago
BBOB: Nelder-Mead with resize and halfruns
Benjamin Doerr, Mahmoud Fouz, Martin Schmidt, Magn...
GECCO
2009
Springer
156views Optimization» more  GECCO 2009»
14 years 4 months ago
BBOB-benchmarking the DIRECT global optimization algorithm
The DIRECT global optimization algorithm is tested on the BBOB 2009 testbed. The algorithm is rather time and space consuming since it does not forget any point it samples during ...
Petr Posik
GECCO
2009
Springer
162views Optimization» more  GECCO 2009»
14 years 4 months ago
On the appropriateness of evolutionary rule learning algorithms for malware detection
In this paper, we evaluate the performance of ten well-known evolutionary and non-evolutionary rule learning algorithms. The comparative study is performed on a real-world classiï...
M. Zubair Shafiq, S. Momina Tabish, Muddassar Faro...
GECCO
2009
Springer
124views Optimization» more  GECCO 2009»
14 years 4 months ago
Black-box optimization benchmarking for noiseless function testbed using an EDA and PSO hybrid
This paper benchmarks an Estimation of Distribution Algorithm (EDA) and Particle Swarm Optimizer (PSO) on noisefree BBOB 2009 testbed. The algorithm is referred to as EDA-PSO and ...
Mohammed El-Abd, Mohamed S. Kamel
GECCO
2009
Springer
150views Optimization» more  GECCO 2009»
14 years 4 months ago
Benchmarking a BI-population CMA-ES on the BBOB-2009 function testbed
We propose a multistart CMA-ES with equal budgets for two interlaced restart strategies, one with an increasing population size and one with varying small population sizes. This B...
Nikolaus Hansen