Clustering and entropy-guided unsupervised learning for multi-objective evolutionary optimization of reentrant hybrid flow shop scheduling
Fields of Study & Subjects
Scheduling and Optimization Algorithms
Resource-Constrained Project Scheduling
Assembly Line Balancing Optimization
Publication details
- Journal / source
- Swarm and Evolutionary Computation
- Publisher
- Elsevier BV
- Volume
- 106
- Pages
- 102414–102414
- Publication date
- 15 May 2026
- Language
- EN