journal article·2025Open access

An Adaptive Cooperated Shuffled Frog-Leaping Algorithm for Parallel Batch Processing Machines Scheduling in Fabric Dyeing Processes

Lianqiang Wu, Deming Lei, Yutong Cai

Computers, Materials & Continua· Volume 83· Issue 2

Abstract

Fabric dyeing is a critical production process in the clothing industry and heavily relies on batch processing machines (BPM). In this study, the parallel BPM scheduling problem with machine eligibility in fabric dyeing is co... | Find, read and cite all the research you need on Tech Science Press
Source: openalex_inverted_index · Quality: baseline

Research context

OpenAlex topics: Scheduling and Optimization Algorithms · Industrial Vision Systems and Defect Detection

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

References (32)

Show source-provided references
1. A multi-objective artificial bee colony algorithm for parallel batch-processing machine scheduling in fabric dyeing processes10.1016/j.knosys.2016.10.026 ↗
2. A complex time based construction heuristic for batch scheduling problems in the chemical industry10.1016/j.ejor.2005.03.011 ↗
3. Scheduling hybrid flowshop with parallel batching machines and compatibilities10.1016/j.cor.2008.06.011 ↗
4. Integrated charge batching and casting width selection at Baosteel10.1287/opre.2014.1278 ↗
5. Scheduling non-identical parallel batch processing machines to minimize total weighted tardiness using particle swarm optimization10.1016/j.cie.2017.09.037 ↗
6. Modelling and symmetry breaking in scheduling problems on batch processing machines10.1080/00207543.2018.1424371 ↗
7. A novel carbon reduction engineering method-based deep Q-learning algorithm for energy-efficient scheduling on a single batch-processing machine in semiconductor manufacturing10.1080/00207543.2023.2252932 ↗
8. Combined scheduling algorithm for re-entrant batch-processing machines in semiconductor wafer manufacturing10.1080/00207543.2014.965355 ↗
9. Batch scheduling in a multi-purpose system with machine downtime and a multi-skilled workforce10.1080/00207543.2023.2265508 ↗
10. An adaptive artificial bee colony for hybrid flow shop scheduling with batch processing machines in casting process10.1080/00207543.2023.2279145 ↗
11. Bi-objective optimisation for scheduling the identical parallel batch-processing machines with arbitrary job sizes, unequal job release times and capacity limits10.1080/00207543.2014.952795 ↗
12. Parallel batch processing machines scheduling in cloud manufacturing for minimizing total service completion time10.1016/j.cor.2022.105899 ↗
13. A multi-objective differential evolution algorithm for parallel batch processing machine scheduling considering electricity consumption cost10.1016/j.cor.2018.04.009 ↗
14. Flexible job-shop scheduling problem with parallel batch machines based on an enhanced multi-population genetic algorithm10.1007/s40747-024-01374-7 ↗
15. An effective iterated greedy algorithm for scheduling unrelated parallel batch machines with non-identical capacities and unequal ready times10.1016/j.cie.2016.12.038 ↗
16. A cooperated shuffled frog-leaping algorithm for distributed energy-efficient hybrid flow shop scheduling with fuzzy processing time10.1007/s40747-021-00400-2 ↗
17. Parallel-batching scheduling with nonlinear processing times on a single and unrelated parallel machines10.1007/s10898-018-0705-3 ↗
18. Guided shuffled frog-leaping algorithm for flexible job shop scheduling problem with variable sublots and overlapping in operations10.1016/j.cie.2023.109209 ↗
19. Solving distributed two-stage hybrid flowshop scheduling using a shuffled frog-leaping algorithm with memeplex grouping10.1080/0305215X.2019.1674295 ↗
20. A bi-objective evolutionary algorithm for minimizing maximum lateness and total pollution cost on non-identical parallel batch processing machines10.1016/j.cie.2022.108608 ↗
21. Sustainable scheduling of distributed flow shop group: a collaborative multi-objective evolutionary algorithm driven by indicators10.1109/TEVC.2023.3339558 ↗
22. Reinforcement learning-assisted memetic algorithm for sustainability-oriented multiobjective distributed flow shop group scheduling
23. An improved multi-objective evolutionary algorithm based on decomposition for solving re-entrant hybrid flow shop scheduling problem with batch processing machines10.1016/j.cie.2022.108236 ↗
24. Shuffled frog-leaping algorithm: a memetic meta-heuristic for discrete optimization10.1080/03052150500384759 ↗
25. An adaptive shuffled frog-leaping algorithm for parallel batch processing machines scheduling with machine eligibility in fabric dyeing process10.1080/00207543.2024.2324452 ↗
26. Dynamic shuffled frog-leaping algorithm for distributed hybrid flow shop scheduling with multiprocessor tasks10.1016/j.engappai.2020.103540 ↗
27. An effective shuffled frog-leaping algorithm for solving the hybrid flow-shop scheduling problem with identical parallel machines10.1080/0305215X.2012.737784 ↗
28. Multiobjective evolutionary algorithms: a comparative case study and the strength Pareto approach10.1109/4235.797969 ↗
29. A pareto archive particle swarm optimization for multi-objective job shop scheduling10.1016/j.cie.2007.11.007 ↗
30. The balance between proximity and diversity in multiobjective evolutionary algorithms10.1109/TEVC.2003.810761 ↗
31. A fast and elitist multiobjective genetic algorithm: NSGA-II10.1109/4235.996017 ↗
32. Taguchi · Introduction to quality engineering · 1986