118 search results - page 9 / 24 » Incremental evolution strategy for function optimization |
140
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GECCO
2010
Springer
14 years 10 months ago
2010
Springer
We benchmark the Covariance Matrix Adaptation-Evolution Strategy (CMA-ES) algorithm with an Increasing POPulation size (IPOP) restart policy on the BBOB noiseless testbed. The IPO...
115
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GECCO
2008
Springer
15 years 1 months ago
2008
Springer
Evolution Strategies (ES) for black-box optimization of a function f : Rn → R are investigated. Namely, we consider the cumulative step-size adaptation (CSA) for the variance of...
109
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GECCO
2007
Springer
15 years 6 months ago
2007
Springer
Recent results show that the Differential Evolution algorithm has significant difficulty on functions that are not linearly separable. On such functions, the algorithm must rely...
103
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EMO
2009
Springer
15 years 7 months ago
2009
Springer
The multi-objective covariance matrix adaptation evolution strategy (MO-CMA-ES) is a variable-metric algorithm for real-valued vector optimization. It maintains a parent population...
91
Voted
GECCO
2007
Springer
15 years 6 months ago
2007
Springer
Constrained continuous optimization is still an interesting field of research. Many heuristics have been proposed in the last decade. Most of them are based on penalty functions....