Work

An End-to-End Framework for Energy-Efficient Cascaded Dual-Shop Collaborative Scheduling With Mating Operations

Year: 2025

Type: article

Source: IEEE Transactions on Cybernetics

DOI: 10.1109/tcyb.2025.3594063

Authors: Haizhu Bao, Quanke Pan, Chee-Meng Chew, Ling Wang, Liang Gao

Institutions: Shanghai University, National University of Singapore, Tsinghua University, Huazhong University of Science and Technology

Language: English

Topic: Scheduling and Optimization Algorithms

Subfield: Industrial and Manufacturing Engineering

Field: Engineering

Domain: Physical Sciences

SDG: Industry, innovation and infrastructure

Open Access status: closed

Funders: Shanghai Key Laboratory of Power Station Automation Technology, National Natural Science Foundation of China, Program of Shanghai Academic Research Leader

Awards: G146811823, G4882439535

OpenAlex ID: W4413677488

FWCI: 9.627

Cites: 47

Cited by: 19

Related to: 10