[HTML][HTML] A review and classification on distributed permutation flowshop scheduling problems

P Perez-Gonzalez, JM Framinan - European Journal of Operational …, 2024‏ - Elsevier
Abstract The Distributed Permutation Flowshop Scheduling (DPFS) problem is one of the
fastest-growing topics in the scheduling literature, which in turn is among the most prolific …

A review on swarm intelligence and evolutionary algorithms for solving flexible job shop scheduling problems

K Gao, Z Cao, L Zhang, Z Chen… - IEEE/CAA Journal of …, 2019‏ - ieeexplore.ieee.org
Flexible job shop scheduling problems (FJSP) have received much attention from academia
and industry for many years. Due to their exponential complexity, swarm intelligence (SI) …

An improved artificial bee colony algorithm with Q-learning for solving permutation flow-shop scheduling problems

H Li, K Gao, PY Duan, JQ Li… - IEEE Transactions on …, 2022‏ - ieeexplore.ieee.org
A permutation flow-shop scheduling problem (PFSP) has been studied for a long time due to
its significance in real-life applications. This work proposes an improved artificial bee colony …

[HTML][HTML] A distributed permutation flow-shop considering sustainability criteria and real-time scheduling

AM Fathollahi-Fard, L Woodward, O Akhrif - Journal of Industrial …, 2024‏ - Elsevier
Recent advancements in production scheduling have arisen in response to the need for
adaptation in dynamic environments. This paper addresses the challenge of real-time …

Implementation of solar energy in smart cities using an integration of artificial neural network, photovoltaic system and classical Delphi methods

N Ghadami, M Gheibi, Z Kian, MG Faramarz… - Sustainable Cities and …, 2021‏ - Elsevier
Energy supply of megacities is considered as an active research topic in the new aspects of
urban management, especially in develo** countries like Iran. With an introduction to the …

Distributed scheduling problems in intelligent manufacturing systems

Y Fu, Y Hou, Z Wang, X Wu, K Gao… - Tsinghua Science and …, 2021‏ - ieeexplore.ieee.org
Currently, manufacturing enterprises face increasingly fierce market competition due to the
various demands of customers and the rapid development of economic globalization …

Solving biobjective distributed flow-shop scheduling problems with lot-streaming using an improved Jaya algorithm

Y Pan, K Gao, Z Li, N Wu - IEEE transactions on cybernetics, 2022‏ - ieeexplore.ieee.org
A distributed flow-shop scheduling problem with lot-streaming that considers completion
time and total energy consumption is addressed. It requires to optimally assign jobs to …

[HTML][HTML] Simulation optimization applied to production scheduling in the era of industry 4.0: A review and future roadmap

A Ghasemi, F Farajzadeh, C Heavey, J Fowler… - Journal of Industrial …, 2024‏ - Elsevier
Production Scheduling (PS) is an essential paradigm within supply and manufacturing
systems and an important element of sustainable development. PS, mainly known for its …

[HTML][HTML] Optimal computing budget allocation for the vector evaluated genetic algorithm in multi-objective simulation optimization

G Kou, H **ao, M Cao, LH Lee - Automatica, 2021‏ - Elsevier
Motivated by the vector evaluation genetic algorithm (VEGA), this research develops
simulation budget allocation rules for the VEGA in solving simulation optimization problems …

Sustainable distributed permutation flow-shop scheduling model based on a triple bottom line concept

AM Fathollahi-Fard, L Woodward, O Akhrif - Journal of Industrial …, 2021‏ - Elsevier
Based on a triple bottom line concept, sustainable development is characterized by the
simultaneous pursuit of economic, environmental and social goals. The implementation of …