1. T. Jiang and C. Zhang, “Application of Grey Wolf Optimization for Solving Combinatorial Problems: Job Shop and Flexible Job Shop Scheduling Cases,”IEEE Access, Vol. 6, pp. 26231-26240, 2018 2. H. Mokhtari and A. Hasani, “An Energy-Efficient Multi-Objective Optimization for Flexible Job-Shop Scheduling Problem,”Computers and Chemical Engineering, Vol. 104, pp. 339-352, 2017 3. X. Wu and Y. Sun, “A Green Scheduling Algorithm for Flexible Job Shop with Energy-Saving Measures,”Journal of Cleaner Production, Vol. 172, pp. 3249-3264, 2018 4. D. Lei, M. Li,L. Wang, “A Two-Phase Meta-Heuristic for Multiobjective Flexible Job Shop Scheduling Problem with Total Energy Consumption Threshold,” IEEE Transactions on Cybernetics, Vol. 49, No. 3, pp. 1097-1109, 2019 5. D. Lei, Y. Zheng,X. Guo, “A Shuffled Frog-Leaping Algorithm for Flexible Job Shop Scheduling with the Consideration of Energy Consumption,” International Journal of Production Research, Vol. 55, No. 11, pp. 3126-3140, 2017 6. L. Yin, X. Li, L. Gao, C. Lu,Z. Zhang, “A Novel Mathematical Model and Multi-Objective Method for the Low-Carbon Flexible Job Shop Scheduling Problem,”Sustainable Computing: Informatics and Systems, Vol. 13, pp. 15-30, 2017 7. X. Zhang, X. Ji,Y. Wang, “An Improved SFLA for Flexible Job Shop Scheduling Problem Considering Energy Consumption,” Modern Physics Letters B, Vol. 32, pp. 1840112, 2018 8. L. L. Meng, C. Y. Zhang, X. Y. Shao,Y. P. Ren, “MILP Models for Energy-Aware Flexible Job Shop Scheduling Problem,”Journal of Cleaner Production, Vol. 210, pp. 710-723, 2019 9. S. Luo, L. Zhang,Y. Fan, “Energy-Efficient Scheduling for Multi-Objective Flexible Job Shops with Variable Processing Speeds by Grey Wolf Optimization,”Journal of Cleaner Production, Vol. 234, pp. 1365-1384, 2019 10. M. Li, D. Lei,H. Xiong, “An Imperialist Competitive Algorithm with the Diversified Operators for Many-Objective Scheduling in Flexible Job Shop,”IEEE Access, Vol. 7, pp. 29553-29562, 2019 11. T. Jiang and G. Deng, “Optimizing the Low-Carbon Flexible Job Shop Scheduling Problem Considering Energy Consumption,”IEEE Access, Vol. 6, pp. 46346-46355, 2018 12. L. L. Meng, C. Y. Zhang, B. Zhang,Y. P. Ren, “Mathematical Modeling and Optimization of Energy-Conscious Flexible Job Shop Scheduling Problem with Worker Flexibility,”IEEE Access, Vol. 7, pp. 68043-68059, 2019 13. H. Li, H. Zhu,T. Jiang, “Modified Migrating Birds Optimization for Energy-Aware Flexible Job Shop Scheduling Problem,” Algorithms, Vol. 13, No. 2, pp. 1-16, 2020 14. T. H. Jiang, C. Zhang, H. Q. Zhu, J. C. Gu,G. L. Deng, “Energy-Efficient Scheduling for a Job Shop using Grey Wolf Optimization Algorithm with Double-Searching Mode,”Mathematical Problems in Engineering, 2018 15. T. Jiang, C. Zhang,Q. M. Sun, “Green Job Shop Scheduling Problem with Discrete Whale Optimization Algorithm,”IEEE Access, Vol. 7, pp. 43153-43166, 2019 16. Y. J. Zheng, “Water Wave Optimization: A New Nature-Inspired Metaheuristic,”Computers and Operations Research, Vol. 55, pp. 1-11, 2015 17. X. B. Wu, J. Liao,Z. C. Wang, “Water Wave Optimization for the Traveling Salesman Problem,” inProceedings of International Conference on Intelligent Computing, pp. 137-146, Springer, Cham, 2015 18. M. Siva, R. Balamurugan,L. Lakshminarasimman, “Water Wave Optimization Algorithm for Solving Economic Dispatch Problems with Generator Constraints,” International Journal of Intelligent Engineering and Systems, Vol. 9, No. 4, pp. 31-40, 2016 19. J. Zhang, Y. Zhou,Q. Luo, “An Improved Sine Cosine Water Wave Optimization Algorithm for Global Optimization,” Journal of Intelligent and Fuzzy Systems, Vol. 34, No. 4, pp. 2129-2141, 2018 20. F. Q. Zhao, H. Liu, Y. Zhang, W. M. Ma,C. Zhang, “A Discrete Water Wave Optimization Algorithm for No-Wait Flow Shop Scheduling Problem,”Expert Systems with Applications, Vol. 91, pp. 347-363, 2018 21. Y. Lu, J. Lu,T. Jiang, “Energy-Conscious Scheduling Problem in a Flexible Job Shop using a Discrete Water Wave Optimization Algorithm,”IEEE Access, Vol. 7, pp. 101561-101574, 2019 22. F. Pezzella, G. Morganti,G. Ciaschetti, “A Genetic Algorithm for the Flexible Job-Shop Scheduling Problem,” Computers and Operations Research, Vol. 35, No. 10, pp. 3202-3212, 2008 23. E. J. Anderson, C. A. Glass,C. N. Potts, “Machine Scheduling,”Local Search in Combinatorial Optimization, Vol. 11, pp. 361-414, 1997 24. F. Werner, “A Survey of Genetic Algorithms for Shop Scheduling Problems,” P. Siarry: Heuristics: Theory and Applications, pp. 161-222, Nova Science Publishers, 2013 25. Y. Lu and T. Jiang, “Bi-Population based Discrete Bat Algorithm for the Low-Carbon Job Shop Scheduling Problem,”IEEE Access, Vol. 7, pp. 14513-14522, 2019 26. D. Lei and X. Guo, “Variable Neighbourhood Search for Dual-Resource Constrained Flexible Job Shop Scheduling,” International Journal of Production Research, Vol. 52, No. 9, pp. 2519-2529, 2014 27. T. H. Jiang, C. Zhang, H. Q. Zhu, J. C. Gu,G. L. Deng, “Energy-Efficient Scheduling for a Job Shop using an Improved Whale Optimization Algorithm,” Mathematics, Vol. 6, No. 11, pp. 220-239, 2018 28. H. Zhu, B. He,H. Li, “Modified Bat Algorithm for the Multi-Objective Flexible Job Shop Scheduling Problem,” International Journal of Performability Engineering, Vol. 13, pp. 7, pp. 999-1012, 2017 |