research data . Dataset . 2020

Computational Study on Effectiveness of Knowledge Transfer 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
Abstract
<p>This file is the output data obtained when running the experiments from the paper below:</p> <p>Ruan, G., Minku, L., Menzel, S., Sendhoff, B., Yao., &ldquo;Computational Study on Effectiveness of Knowledge Transfer in Dynamic Multi-objective Optimization&rdquo;&nbsp;<em>2020 IEEE Congress on Evolutionary Computation</em></p> <p>Transfer learning has been used for solving multiple optimization and dynamic multi-objective optimization problems, since transfer learning is believed to be able to transfer useful information from one problem instance to help solving another related problem instance. This paper aims to study how effective transfer learning is in dyn...
Subjects
free text keywords: Evolutionary algorithms, transfer learning, dynamic multi-objective optimization, prediction-based method
Funded by
EC| ECOLE
Project
ECOLE
Experience-based Computation: Learning to Optimise
  • Funder: European Commission (EC)
  • Project Code: 766186
  • Funding stream: H2020 | MSCA-ITN-EID
Download from
Zenodo
Dataset . 2020
Provider: Zenodo
Powered by OpenAIRE Research Graph
Any information missing or wrong?Report an Issue