Multi-Policy Deep Reinforcement Learning for Multi-Objective Multiplicity Flexible Job Shop Scheduling.
Simulation‐based optimisation for order release of printed circuit board workshop with process switching constraints, https://doi.org/10.1049/cim2.12098
Solving Line Balancing and AGV Scheduling Problems for Intelligent Decisions using a Genetic-Artificial Bee Colony Algorithm, https://doi.org/10.1016/j.cie.2024.109976
Differential Evolution Algorithm to Solve the Parallel Batch Processing Machine Scheduling Problem with Multiple Jobs, https://doi.org/10.3390/engproc2023045022
Energy-efficient scheduling of a two-stage flexible printed circuit board flow shop using a hybrid Pareto spider monkey optimisation algorithm, https://doi.org/10.1016/j.jii.2022.100412
Re-ranking person re-identification using distance aggregation of k-nearest neighbors hierarchical tree, https://doi.org/10.1007/s11042-020-10123-0
Integrated Planning and Scheduling of Multiple Manufacturing Projects Under Resource Constraints Using Raccoon Family Optimization Algorithm, https://doi.org/10.1109/ACCESS.2020.2971650
A smart algorithm for multi-criteria optimization of model sequencing problem in assembly lines, https://doi.org/10.1016/j.rcim.2019.101844
Multi-Level Planning and Scheduling for Parallel PCB Assembly Lines Using Hybrid Spider Monkey Optimization Approach, https://doi.org/10.1109/ACCESS.2019.2895954
HYBRID PARTICLE SWARM ALGORITHM FOR SCHEDULING IN CELLULAR MANUFACTURING SYSTEM-A CASE STUDY, http://dx.doi.org/10.25211/jeas.v38i1.2009
Modified NEH Algorithm for Multi-Objective Sequencing in Mixed-Model Assembly Lines, http://dx.doi.org/10.22581/muet1982.1803.09
DIGITAL TWIN-BASED SMART MANUFACTURING SYSTEM FOR PROJECT-BASED ORGANIZATIONS: A CONCEPTUAL FRAMEWORK
Conceptual Framework of Smart Manufacturing for PCB Industries
Multi-Criteria Inventory Classification Based on Multi-Criteria Decision-Making (MCDM) Technique, http://dx.doi.org/10.3233/978-1-61499-902-7-343
Makespan Minimization for Flow Shop Scheduling Problems Using Modified Operators in Genetic Algorithm, http://dx.doi.org/10.3233/978-1-61499-902-7-435
Multi-Objective Optimization for Models Sequencing in Mixed-Model Assembly Lines, http://dx.doi.org/10.3233/978-1-61499-792-4-96
