SBOF: An End-to-End Framework for Simulative Black-Box Optimization of Hybrid Perceptive Functions-Reference-Cited by-同舟云学术

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SBOF: An End-to-End Framework for Simulative Black-Box Optimization of Hybrid Perceptive Functions

Published:2021-10-17 Issue: Volume: Page:
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Container-title:2021 IEEE International Conference on Systems, Man, and Cybernetics (SMC)
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Author:

Roos Stefan,Schmidt Julian,Stork Wilhelm

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9658572/9658575/09659263.pdf?arnumber=9659263

Reference35 articles.

1. The black-box optimization bench-marking (bbob) workshop series,2020

2. Completely Derandomized Self-Adaptation in Evolution Strategies

3. Study of the various selection techniques in genetic algorithms;yadav;Int J Math Eng Sci,2017

4. Choosing Mutation and Crossover Ratios for Genetic Algorithms—A Review with a New Dynamic Approach

5. Cma-es for hyperparameter optimization of deep neural networks;loshchilov,2016

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