Renewable energy sources from the perspective of blockchain integration: From theory to application

S Gawusu, X Zhang, A Ahmed, SA Jamatutu… - Sustainable Energy …, 2022 - Elsevier
Renewable Energy (RE) decentralisation has become a means towards energy
sustainability due to the revolution in blockchain technology. RE sources have undergone …

A review of green shop scheduling problem

M Li, GG Wang - Information Sciences, 2022 - Elsevier
The manufacturing industry directly reflects the productivity level of a country and plays an
important role in economic and social development. However, with the development of the …

Green scheduling of distributed two-stage reentrant hybrid flow shop considering distributed energy resources and energy storage system

J Dong, C Ye - Computers & Industrial Engineering, 2022 - Elsevier
In order to build a green manufacturing model and realize energy conservation and
emission reduction, we establish a distributed two-stage reentrant hybrid flow shop bi-level …

A parallel hybrid PSO-GA algorithm for the flexible flow-shop scheduling with transportation

A Amirteimoori, I Mahdavi, M Solimanpur, SS Ali… - Computers & Industrial …, 2022 - Elsevier
In this paper, a Mixed-Integer Linear Programming (MILP) model to simultaneously schedule
jobs and transporters in a flexible flow shop system is suggested. Wherein multiple jobs …

Discrete differential evolution metaheuristics for permutation flow shop scheduling problems

M de Fátima Morais, MHDM Ribeiro… - Computers & Industrial …, 2022 - Elsevier
Scheduling problems (SP) in the permutation flow shop (PFS) environment are present in
many intermittent production industries, consisting of to determinate the processing order of …

A teaching-learning-based optimization with feedback for LR fuzzy flexible assembly job shop scheduling problem with batch splitting

M Sun, Z Cai, H Zhang - Expert Systems with Applications, 2023 - Elsevier
Batch splitting is an effective means to improve production efficiency. This paper integrates
batch splitting into flexible assembly job shop scheduling problem. Complex manufacturing …

Problem-specific knowledge MOEA/D for energy-efficient scheduling of distributed permutation flow shop in heterogeneous factories

C Luo, W Gong, R Li, C Lu - Engineering Applications of Artificial …, 2023 - Elsevier
With the development of the global economy and the enhancement of environmental
awareness, energy-efficient permutation flow shop scheduling gets more attention …

Towards green energy for sustainable development: Machine learning based MPPT approach for thermoelectric generator

MH Zafar, NM Khan, M Mansoor, UA Khan - Journal of Cleaner Production, 2022 - Elsevier
The rapidly increasing demand for electrical energy and the depletion of fossil fuels ignited
research in renewable energy generation and management. Thermoelectric generation …

Maximum energy harvesting of centralized thermoelectric power generation systems with non-uniform temperature distribution based on novel equilibrium optimizer

M Mansoor, AF Mirza, S Duan, J Zhu, B Yin… - Energy Conversion and …, 2021 - Elsevier
Recently thermoelectric generation (TEG) systems are gaining popularity due to their
increased power density and wide applications in industrial and energy conversion …

METSM: Multiobjective energy-efficient task scheduling model for an edge heterogeneous multiprocessor system

Q Jiang, X Xin, L Yao, B Chen - Future Generation Computer Systems, 2024 - Elsevier
Along with the growth of computing requirements, edge devices, such as satellites and
unmanned aerial vehicles, are equipped with heterogeneous multiprocessor systems to …