34 search results - page 3 / 7 » Benchmarking the BFGS algorithm on the BBOB-2009 noisy testb... |
168
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GECCO
2009
Springer
15 years 10 months ago
2009
Springer
The (1+1)-CMA-ES is an adaptive stochastic algorithm for the optimization of objective functions defined on a continuous search space in a black-box scenario. In this paper, an i...
188
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GECCO
2009
Springer
15 years 10 months ago
2009
Springer
In this paper, we benchmark the (1+1) Evolution Strategy (ES) with one-fifth success rule which is one of the first and simplest adaptive search algorithms proposed for optimiza...
155
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GECCO
2009
Springer
15 years 10 months ago
2009
Springer
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 ...
157
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GECCO
2009
Springer
15 years 10 months ago
2009
Springer
In this paper, we present a stigmergy-based algorithm for solving optimization problems with continuous variables, labeled Differential Ant-Stigmergy Algorithm (DASA). The perfor...
152
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GECCO
2009
Springer
2009
Springer
Black-box optimization benchmarking for noiseless function testbed using particle swarm optimization
15 years 10 months ago
This paper benchmarks the Particle Swarm Optimization (PSO) algorithm using the noise-free BBOB 2009 testbed. Categories and Subject Descriptors