A Bi-population Cooperative Optimization Algorithm Assisted by an Autoencoder for Medium-scale Expensive Problems-Reference-Cited by-同舟云学术

A Bi-population Cooperative Optimization Algorithm Assisted by an Autoencoder for Medium-scale Expensive Problems

Published:2022-11 Issue:11 Volume:9 Page:1952-1966
ISSN:2329-9266
Container-title:IEEE/CAA Journal of Automatica Sinica
language:
Short-container-title:IEEE/CAA J. Autom. Sinica

Author:

Cui Meiji¹,Li Li²,Zhou MengChu³,Li Jiankai³,Abusorrah Abdullah⁴,Sedraoui Khaled⁴

Affiliation:

1. School of Intelligent Manufacturing, Nanjing University of Science and Technology,Nanjing,China,210094

2. Tongji University,Department of Electronics and Information Engineering,Shanghai,China,201804

3. New Jersey Institute of Technology,Helen and John C. Hartmann Department of Electrical and Computer Engineering,Newark,NJ,USA,07102

4. Center of Research Excellence in Renewable Energy and Power Systems, Faculty of Engineering, and K. A. CARE Energy Research and Innovation Center, King Abdulaziz University,Department of Electrical and Computer Engineering,Jeddah,Saudi Arabia,21589

Funder

National Natural Science Foundation of China

China Scholarship Council

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Artificial Intelligence,Information Systems,Control and Systems Engineering,Control and Optimization

Link

http://xplorestaging.ieee.org/ielx7/6570654/9915488/09754323.pdf?arnumber=9754323

Reference81 articles.

1. Lexicographic Multiobjective Scatter Search for the Optimization of Sequence-Dependent Selective Disassembly Subject to Multiresource Constraints

2. Scheduling Dual-Objective Stochastic Hybrid Flow Shop With Deteriorating Jobs via Bi-Population Evolutionary Algorithm