An efficient Q-learning integrated multi-objective hyper-heuristic approach for hybrid flow shop scheduling problems with lot streaming.
Expert Syst. Appl., 2025
Batch processing machine scheduling problems using a self-adaptive approach based on dynamic programming.
Comput. Oper. Res., 2025
Two-stage double deep Q-network algorithm considering external non-dominant set for multi-objective dynamic flexible job shop scheduling problems.
Swarm Evol. Comput., 2024
Multi-objective human-robot collaborative disassembly line balancing considering components remanufacture demand and hazard characteristics.
Comput. Ind. Eng., 2024
Solving line balancing and AGV scheduling problems for intelligent decisions using a Genetic-Artificial bee colony algorithm.
Comput. Ind. Eng., 2024
An improved spider monkey optimization algorithm for multi-objective planning and scheduling problems of PCB assembly line.
Expert Syst. Appl., November, 2023
Energy-efficient scheduling of a two-stage flexible printed circuit board flow shop using a hybrid Pareto spider monkey optimisation algorithm.
J. Ind. Inf. Integr., February, 2023
Modeling and Optimization for Multi-Objective Nonidentical Parallel Machining Line Scheduling with a Jumping Process Operation Constraint.
Symmetry, 2021
A smart algorithm for multi-criteria optimization of model sequencing problem in assembly lines.
Robotics Comput. Integr. Manuf., 2020
Hybrid spider monkey optimisation algorithm for multi-level planning and scheduling problems of assembly lines.
Int. J. Prod. Res., 2020
Integrated Planning and Scheduling of Multiple Manufacturing Projects Under Resource Constraints Using Raccoon Family Optimization Algorithm.
IEEE Access, 2020
Hybrid Particle Swarm Algorithm for Products' Scheduling Problem in Cellular Manufacturing System.
Symmetry, 2019
Multi-Level Planning and Scheduling for Parallel PCB Assembly Lines Using Hybrid Spider Monkey Optimization Approach.
IEEE Access, 2019