research data . Dataset . 2020

When and How to Transfer Knowledge in Dynamic Multi-objective Optimization

Gan Ruan; Leandro L. Minku; Stefan Menzel; Bernhard Sendhoff; Xin Yao;
Open Access English
  • Published: 01 Jan 2020
  • Publisher: Zenodo
<p>This file is the output data obtained when running the experiments of the paper below:</p> <p>Ruan, G., Minku, L.L., Menzel, S., Sendhoff, B., Yao, X., &quot;When and How to Transfer Knowledge in Dynamic Multi-objective Optimization,&quot; 2019 IEEE Symposium Series on Computational Intelligence (SSCI), Xiamen, China, 2019, pp. 2034-2041.&nbsp;</p> <p>&nbsp;</p> <p>Transfer learning has been used for solving multiple optimization and dynamic multi-objective optimization problems, since transfer learning is able to transfer useful information from one problem to help solving another related problem. This paper aims to investigate when and how transfer learning...
free text keywords: Evolutionary algorithms, transfer learning, dynamic multi-objective optimization, prediction-based method
Funded by
Experience-based Computation: Learning to Optimise
  • Funder: European Commission (EC)
  • Project Code: 766186
  • Funding stream: H2020 | MSCA-ITN-EID
Download from
Dataset . 2020
Provider: Zenodo
Powered by OpenAIRE Research Graph
Any information missing or wrong?Report an Issue