Benchmarking Derivative-Free Global Optimization Methods on Variable Dimension Robotics Problems
Author:
Affiliation:
1. Institute of Automation and Computer Science, Brno University of Technology,Brno,Czech Republic
2. Jönköping University,Department of Computing,Jönköping,Sweden
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx8/10609966/10611750/10611780.pdf?arnumber=10611780
Reference45 articles.
1. A review of population-based metaheuristics for large-scale black-box global optimization: Part A
2. Benchmarking Derivative-Free Global Optimization Algorithms Under Limited Dimensions and Large Evaluation Budgets
3. Messy genetic algorithms: Motivation, analysis, and first results;Goldberg;Complex systems,1989
4. Managing variable-dimension structural optimization problems using generative algorithms
5. Using Fast Messy Genetic Algorithm to Optimally Schedule Pump Operation
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