A Surrogate-Assisted Differential Evolution with Knowledge Transfer for Expensive Incremental Optimization Problems-Reference-Cited by-同舟云学术

A Surrogate-Assisted Differential Evolution with Knowledge Transfer for Expensive Incremental Optimization Problems

Published:2023 Issue: Volume: Page:1-1
ISSN:1089-778X
Container-title:IEEE Transactions on Evolutionary Computation
language:
Short-container-title:IEEE Trans. Evol. Computat.

Author:

Liu Yuanchao¹^ORCID,Liu Jianchang¹^ORCID,Ding Jinliang¹^ORCID,Yang Shangshang²^ORCID,Jin Yaochu¹^ORCID

Affiliation:

1. State Key Laboratory of Synthetical Automation for Process Industries, Northeastern University, Shenyang, China

2. School of Artificial Intelligence, Key Laboratory of Intelligent Computing and Signal Processing of Ministry of Education, Anhui University, Hefei, China

Funder

National Key R&D Plan Project

National Natural Science Foundation of China

111 Project 2.0

Alexander von Humboldt Professorship for Artificial Intelligence endowed by the German Federal Ministry of Education and Research

Liaoning Province Central Leading Local Science and Technology Development Special Project

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computational Theory and Mathematics,Theoretical Computer Science,Software

Link

http://xplorestaging.ieee.org/ielx7/4235/4358751/10172303.pdf?arnumber=10172303

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