A multidimensional probabilistic model based evolutionary algorithm for the energy-efficient distributed flexible job-shop scheduling problem-Reference-Cited by-同舟云学术

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A multidimensional probabilistic model based evolutionary algorithm for the energy-efficient distributed flexible job-shop scheduling problem

Published:2024-09 Issue: Volume:135 Page:108841
ISSN:0952-1976
Container-title:Engineering Applications of Artificial Intelligence
language:en
Short-container-title:Engineering Applications of Artificial Intelligence

Author:

Zhang Zi-Qi,Li Ying,Qian Bin^ORCID,Hu Rong,Yang Jian-Bo

Publisher

Elsevier BV

Reference101 articles.

1. Multi-objective electricity market clearing considering dynamic security by lexicographic optimization and augmented epsilon constraint method;Aghaei;Appl. Soft Comput.,2011

2. Energy-aware scheduling for improving manufacturing process sustainability: a mathematical model for flexible flow shops;Bruzzone;Cirp Ann. Manuf. Techn.,2012

3. Dynamic shuffled frog-leaping algorithm for distributed hybrid flow shop scheduling with multiprocessor tasks;Cai;Eng. Appl. Artif. Intell.,2020

4. Optimisation of distributed manufacturing flexible job shop scheduling by using hybrid genetic algorithms;Chang;J. Intell. Manuf.,2015

5. Energy-efficient bi-objective single-machine scheduling with power-down mechanism;Che;Comput. Oper. Res.,2017

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