Surrogate-assisted cooperative coevolutionary optimization with a new grouping strategy for large-scale expensive problems
Authors:
Open Access
- 5 November 2025
- journal article
- research article
- Published by Springer Nature in Complex & Intelligent Systems
- Vol. 12 (1) , 1-14
Abstract
No abstract availableKeywords
Funding Information
- National Natural Science Foundation of China (61876123)
- Shanxi Key Research and Development Program (202102020101002)
- Natural Science Foundation of Shanxi Province (202203021211194)
This publication has 31 references indexed in Scilit:
- Co-evolutionary competitive swarm optimizer with three-phase for large-scale complex optimization problemInformation Sciences, 2022
- Surrogate ensemble assisted large-scale expensive optimization with random groupingInformation Sciences, 2022
- A self-exploratory competitive swarm optimization algorithm for large-scale multiobjective optimizationInformation Sciences, 2022
- Large-scale multiobjective optimization with adaptive competitive swarm optimizer and inverse modelingInformation Sciences, 2022
- A Surrogate-Assisted Evolutionary Algorithm with Random Feature Selection for Large-Scale Expensive Problems2020
- Investigating surrogate-assisted cooperative coevolution for large-Scale global optimizationInformation Sciences, 2019
- Surrogate model assisted cooperative coevolution for large scale optimizationApplied Intelligence, 2018
- A social learning particle swarm optimization algorithm for scalable optimizationInformation Sciences, 2015
- Design optimization of a carbon fiber reinforced composite automotive lower armComposites Part B: Engineering, 2014
- A cooperative coevolutionary approach to function optimization1994