Optimizing Energy Efficiency in Unrelated Parallel Machine Scheduling Problem Through Reinforcement Learning

Author:

Pérez Christian,March Carlos,Salido Miguel

Publisher

Elsevier BV

Reference23 articles.

1. Hybridizing guided genetic algorithm and single-based metaheuristics to solve unrelated parallel machine scheduling problem with scarce resources;M H Abed;IAES International Journal of Artificial Intelligence,2023

2. Reinforcement learning-based genetic algorithm in optimizing multidimensional data discretization scheme;Q Chen;Mathematical Problems in Engineering,2020

3. A systematic review of empirical studies on green manufacturing: eight propositions and a research framework for digitalized sustainable manufacturing;M Despeisse;Production & Manufacturing Research,2022

4. Global and local aspects of world energy consumption: forecast and risks;N Hajiyev;Proceedings of the Institution of Civil Engineers -Energy,2022

5. The growing importance of scope 3 greenhouse gas emissions from industry;E G Hertwich;Environ. Res. Lett,2018

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