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GECCO
2010
Springer
173views Optimization» more  GECCO 2010»
13 years 10 months ago
Comparison of cauchy EDA and rosenbrock's algorithms on the BBOB noiseless testbed
Estimation-of-distribution algorithm equipped with Cauchy distribution (Cauchy EDA) is compared with Rosenbrock’s local search algorithm. Both algorithms were already presented ...
Petr Posík
GECCO
2010
Springer
158views Optimization» more  GECCO 2010»
13 years 10 months ago
Investigating the impact of sequential selection in the (1, 4)-CMA-ES on the noisy BBOB-2010 testbed
Sequential selection, introduced for Evolution Strategies (ESs) with the aim of accelerating their convergence, consists in performing the evaluations of the different offspring...
Anne Auger, Dimo Brockhoff, Nikolaus Hansen
GECCO
2010
Springer
140views Optimization» more  GECCO 2010»
13 years 10 months ago
Investigating the impact of sequential selection in the (1, 4)-CMA-ES on the noiseless BBOB-2010 testbed
This paper investigates the impact of sequential selection, a concept recently introduced for Evolution Strategies (ESs). Sequential selection performs the evaluations of the di...
Anne Auger, Dimo Brockhoff, Nikolaus Hansen
GECCO
2010
Springer
249views Optimization» more  GECCO 2010»
13 years 10 months ago
Towards improved dispatching rules for complex shop floor scenarios: a genetic programming approach
Developing dispatching rules for manufacturing systems is a tedious process, which is time- and cost-consuming. Since there is no good general rule for different scenarios and ob...
Torsten Hildebrandt, Jens Heger, Bernd Scholz-Reit...
GECCO
2010
Springer
176views Optimization» more  GECCO 2010»
13 years 10 months ago
A hierarchical cooperative evolutionary algorithm
To successfully search multiple coadaptive subcomponents in a solution, we developed a novel cooperative evolutionary algorithm based on a new computational multilevel selection f...
Shelly Xiaonan Wu, Wolfgang Banzhaf
GECCO
2010
Springer
180views Optimization» more  GECCO 2010»
13 years 10 months ago
Coevolution of heterogeneous multi-robot teams
Evolving multiple robots so that each robot acting independently can contribute to the maximization of a system level objective presents significant scientific challenges. For e...
Matt Knudson, Kagan Tumer
GECCO
2010
Springer
137views Optimization» more  GECCO 2010»
13 years 10 months ago
Emergence of competitive and cooperative behavior using coevolution
Padmini Rajagopalan, Aditya Rawal, Risto Miikkulai...
GECCO
2010
Springer
165views Optimization» more  GECCO 2010»
13 years 10 months ago
Evolving robust controller parameters using covariance matrix adaptation
In this paper, the advantages of introducing an additional amount of tests when evolving parameters for specific purposes is discussed. A set of optimal PID-controller parameters...
Gerulf K. M. Pedersen, Martin V. Butz
EUROGP
2010
Springer
182views Optimization» more  EUROGP 2010»
13 years 10 months ago
Unsupervised Problem Decomposition Using Genetic Programming
We propose a new framework based on Genetic Programming (GP) to automatically decompose problems into smaller and simpler tasks. The framework uses GP at two levels. At the top lev...
Ahmed Kattan, Alexandros Agapitos, Riccardo Poli