An adaptive artificial bee colony with reinforcement learning for distributed three-stage assembly scheduling with maintenance

J Wang, D Lei, J Cai - Applied Soft Computing, 2022‏ - Elsevier
Distributed three-stage assembly scheduling problem extensively exists in the real-life
assembly production process and is seldom considered. The integration of reinforcement …

Heuristic and metaheuristic methods for the parallel unrelated machines scheduling problem: a survey

M Ɖurasević, D Jakobović - Artificial Intelligence Review, 2023‏ - Springer
Scheduling has an immense effect on various areas of human lives, be it though its
application in manufacturing and production industry, transportation, workforce allocation, or …

A novel shuffled frog-lea** algorithm with reinforcement learning for distributed assembly hybrid flow shop scheduling

J Cai, D Lei, J Wang, L Wang - International Journal of Production …, 2023‏ - Taylor & Francis
Distributed hybrid flow shop scheduling (DHFS) problem has attracted much attention in
recent years; however, DHFS with actual processing constraints like assembly is seldom …

Recent trends in distributed production network scheduling problem

N Bagheri Rad, J Behnamian - Artificial Intelligence Review, 2022‏ - Springer
The complex problems in the real world, an increase in competition among producers, the
advancements in equipment and manufacturing products, the high cost of factory equipment …

Enhanced salp swarm algorithm based on firefly algorithm for unrelated parallel machine scheduling with setup times

AA Ewees, MAA Al-qaness, M Abd Elaziz - Applied Mathematical Modelling, 2021‏ - Elsevier
Unrelated parallel machine scheduling problem (UPMSP) with sequence-dependent setup
times has received more attention due to its various industrial and scheduling applications …

A Q-learning artificial bee colony for distributed assembly flow shop scheduling with factory eligibility, transportation capacity and setup time

J Wang, H Tang, D Lei - Engineering Applications of Artificial Intelligence, 2023‏ - Elsevier
Distributed assembly flow shop scheduling problem (DAFSP) has been considered;
however, DAFSP with factory eligibility, transportation capacity and setup time is seldom …

A cooperated shuffled frog-lea** algorithm for distributed energy-efficient hybrid flow shop scheduling with fuzzy processing time

J Cai, D Lei - Complex & Intelligent Systems, 2021‏ - Springer
Distributed hybrid flow shop scheduling problem (DHFSP) has attracted some attention;
however, DHFSP with uncertainty and energy-related element is seldom studied. In this …

Low-carbon routing based on improved artificial bee colony algorithm for electric trackless rubber-tyred vehicles

Y Guo, Y Huang, S Ge, Y Zhang, E Jiang… - Complex System …, 2023‏ - ieeexplore.ieee.org
Trackless rubber-tyerd vehicles are the core equipment for auxiliary transportation in
inclined-shaft coal mines, and the rationality of their routes plays the direct impact on …

Quantum-inspired African vultures optimization algorithm with elite mutation strategy for production scheduling problems

B Liu, Y Zhou, Q Luo, H Huang - Journal of Computational …, 2023‏ - academic.oup.com
The production scheduling (PS) problem is a challenging task that involves assigning
manufacturing resources to jobs while ensuring that all constraints are satisfied. The key …

An adaptive artificial bee colony for unrelated parallel machine scheduling with additional resource and maintenance

D Lei, S He - Expert Systems with Applications, 2022‏ - Elsevier
Unrelated parallel machine scheduling problem with additional resource (UPMSPR) has
been extensively considered; however, UPMSPR with preventive maintenance (PM) is …