Co-evolution genetic programming-based hyper-heuristics for the stochastic project scheduling problem with resource transfer and idle costs

H Zhang, L Li, S Bai, J Zhang - Swarm and Evolutionary Computation, 2024 - Elsevier
In this paper, we study the stochastic resource-constrained project scheduling problem with
transfer and idle costs (SRCPSP-TIC) under uncertain environments, where the resource …

A hybrid metaheuristic and simulation approach towards green project scheduling

R Rabet, SM Sajadi, M Tootoonchy - Annals of Operations Research, 2024 - Springer
This research tackles the environmental concern of greenhouse gas emissions in the
execution of projects, with a focus on multi-site projects where the transportation of …

Surrogate-assisted cooperative learning genetic programming for the resource-constrained project scheduling problem with stochastic activity durations and transfer …

H Zhang, E Demeulemeester, L Li, S Bai - Computers & Operations …, 2025 - Elsevier
For the project scheduling problem with transfer times under an uncertain environment, not
only the activity durations are stochastic, but transfer times are often also stochastic …

A chance-constrained optimization approach integrating project scheduling and material ordering to manage the uncertain material supply

B Tian, J Zhang, E Demeulemeester, H Liu - Computers & Operations …, 2024 - Elsevier
To deal with the impact of uncertain material supply on the implementation of projects, we
investigate a problem of concurrently finding a robust baseline schedule and a material …

Multi-robot multi-station welding flow shop closed-loop rescheduling with deep reinforcement learning and improved artificial bee colony algorithm

P Zhang, M Wang, G Zhang, P Zheng, M Jin… - Computers & Industrial …, 2024 - Elsevier
Multi-robot multi-station manufacturing system has gained significant popularity in welding
workshop for processing large jobs. The implementation of cooperative welding robots …

Multi-parametric analysis for mixed integer linear programming: An application to transmission upgrade and congestion management

J Liu, DC Wunsch II, S Wang, R Bo - Sustainable Energy, Grids and …, 2024 - Elsevier
Upgrading the capacity of existing transmission lines is essential for meeting the growing
energy demands, facilitating the integration of renewable energy, and ensuring the security …

Effective and interpretable rule mining for dynamic job-shop scheduling via improved gene expression programming with feature selection

A Sitahong, Y Yuan, J Ma, Y Lu, P Mo - Applied Sciences, 2023 - mdpi.com
Gene expression programming (GEP) is frequently used to create intelligent dispatching
rules for job-shop scheduling. The proper selection of the terminal set is a critical factor for …

New mathematical model for machine scheduling with variable capacity over time

M Esmaelian, A Momeni… - International Journal of …, 2024 - Taylor & Francis
In this study, machine scheduling with variable capacity over time (SVCap) is investigated.
The machine capacity is the maximum number of jobs that a machine can process at a time …

An adapted constraint‐programming formulation of the resource‐constrained project scheduling problem applied to the identical parallel machines group shop and …

F Yuraszeck, G Mejía… - … in Operational Research, 2024 - Wiley Online Library
In this paper, we study the group shop and the mixed shop scheduling problems with single
and identical parallel machines at each workstation with the makespan criterion. We …

A Hierarchical Resource Scheduling Method for Satellite Control System Based on Deep Reinforcement Learning

Y Li, X Guo, Z Meng, J Qin, X Li, X Ma, S Ren, J Yang - Electronics, 2023 - mdpi.com
Space-based systems providing remote sensing, communication, and navigation services
are essential to the economy and national defense. Users' demand for satellites has …