Two-Stage Genetic Algorithm for Scheduling Stochastic Unrelated Parallel Machines in a Just-in-Time Manufacturing Context-Reference-Cited by-同舟云学术

Two-Stage Genetic Algorithm for Scheduling Stochastic Unrelated Parallel Machines in a Just-in-Time Manufacturing Context

Published:2023-04 Issue:2 Volume:20 Page:936-949
ISSN:1545-5955
Container-title:IEEE Transactions on Automation Science and Engineering
language:
Short-container-title:IEEE Trans. Automat. Sci. Eng.

Author:

Cao Zhengcai¹^ORCID,Lin Chengran¹^ORCID,Zhou Mengchu²^ORCID,Zhou Chuanguang¹,Sedraoui Khaled³

Affiliation:

1. College of Information Science and Technology, Beijing University of Chemical Technology, Beijing, China

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

3. Department of Electrical and Computer Engineering, Faculty of Engineering, and Center of Research Excellence in Renewable Energy and Power Systems, King Abdulaziz University, Jeddah, Saudi Arabia

Funder

National Natural Science Foundation of China

Beijing Leading Talents Program

Institutional Fund Projects through the Ministry of Education and Deanship of Scientific Research (DSR), King Abdulaziz University (KAU), Jeddah, Saudi Arabia

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Control and Systems Engineering

Link

http://xplorestaging.ieee.org/ielx7/8856/10094220/09808114.pdf?arnumber=9808114

Reference52 articles.

1. An Efficient Scheduling Method for Crude Oil Operations in Refinery With Crude Oil Type Mixing Requirements

2. A parametric genetic algorithm approach to assess complementary options of large scale windsolar coupling

3. Multipin Optimization Method for Placement of Decoupling Capacitors Using a Genetic Algorithm

4. Self-Adaptive Genetic Algorithm For Bucket Wheel Reclaimer Real-Parameter Optimization

5. Semi-supervised learning via mean field methods

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