Mobile QR Code QR CODE

※ The user interface design of www.ieiespc.org has been recently revised and updated. Please contact inter@theieie.org for any inquiries regarding paper submission.

Journal Search

  1. Home
  2. Archive
  3. 2024-06 (Vol.13 No.03)
  4. 10.5573/IEIESPC.2024.13.3.263
XML PDF INFO REF

REFERENCES

1 
M. Cramer, T. Koegst, J. Traenckner, “Multi-criterial evaluation of P-removal optimization in rural wastewater treatment plants for a sub-catchment of the Baltic Sea,” Ambio, vol. 47, pp. 93-102, 2018.DOI
2 
X Ning, J Qi, C Wu, et al., “Reducing noise pollution by planning construction site layout via a multi-objective optimization model,” Journal of Cleaner Production, vol. 222, pp. 218-230, 2019.DOI
3 
J. Liu, H. Zhang, K. He, et al., “Multi-objective particle swarm optimization algorithm based on objective space division for the unequal-area facility layout problem,” Expert Systems with Applications, vol. 102, pp. 179-192, 2018.DOI
4 
B. Kanso, A. Kansou, A. Yassine, “Open Capacitated ARC routing problem by Hybridized Ant Colony Algorithm,” RAIRO - Operations Research, vol. 55, pp. 639-652, 2021.DOI
5 
X. Ning, J. Qi, C. Wu, et al., “A tri-objective ant colony optimization based model for planning safe construction site layout,” Automation in Construction, vol. 89, pp. 1-12, 2018.DOI
6 
F. Al-Amyal, M. Hamouda, L. Számel, “Torque Quality Improvement of Switched Reluctance Motor Using Ant Colony Algorithm,” Acta Polytechnica Hungarica, vol. 18, pp. 129-150, 2021.URL
7 
J. Liao, S. Lima, Á. Rocha, “Research on PAGV path planning based on artificial immune ant colony fusion algorithm,” Journal of Intelligent & Fuzzy Systems, 35, pp. 2821-2826, 2018.DOI
8 
W. He, S. Meng, J. Wang, et al., “Weaving scheduling based on an improved ant colony algorithm,” Textile Research Journal, 91, pp. 543-554, 2021.DOI
9 
R. Srinivasan, M. Jayaraman, “Experimentation on product and service life cycle on drive shaft using ant colony algorithm,” Journal of the Balkan Tribological Association, vol. 26, pp. 729-735, 2020.URL
10 
S. Zhu, W. Zhu, X. Zhang, et al., “Path planning of lunar robot based on dynamic adaptive ant colony algorithm and obstacle avoidance,” International Journal of Advanced Robotic Systems, vol. 17, pp. 4149-4171, 2020.DOI
11 
T. Ye, C. Ran, X. Zhang, et al., “PlatEMO: A MATLAB platform for evolutionary multi-objective optimization,” IEEE Computational Intelligence Magazine, vol. 12, pp. 73-87, 2017.DOI
12 
H Wang, Q Zhang, L Jiao, et al., “Regularity model for noisy multi-objective optimization,” IEEE Transactions on Cybernetics, vol. 46, pp. 1997-2009, 2019.DOI
13 
Y. Yuan, Y. S. Ong, A. Gupta, et al., “Objective Reduction in Many-Objective Optimization: Evolutionary multi-objective approaches and comprehensive analysis,” IEEE Transactions on Evolutionary Computation, vol. 22, pp. 189-210, 2018.DOI
14 
H. Zille, H. Ishibuchi, S. Mostaghim, et al., “A framework for large-scale multi-objective optimization based on problem transformation,” IEEE Transactions on Evolutionary Computation, vol. 22, pp. 260-275, 2018.DOI
15 
M. Wu, K. Li, S. Kwong, et al., “Learning to decompose: A paradigm for decomposition-based multi-objective optimization,” IEEE Transactions on Evolutionary Computation, vol. 23, pp. 376-390, 2018.DOI
16 
K. Naji, E. Santini-Bell, K. Kwiatkowski, “Element-based multi-objective optimization methodology supporting a transportation asset management framework for bridge planning and programming,” Transportation Research Record, vol. 2676, pp. 222-241, 2022.DOI
17 
L. Ke, K. Deb, Q. Zhang, et al., “Efficient nondomination level update method for steady-state evolutionary multi-objective optimization,” IEEE Transactions on Cybernetics, vol. 47, pp. 2838-2849, 2017.DOI
18 
X. Ma, H. Xu, C. Restrepo, et al., “Multi-objective optimization for structured illumination in dynamic x-ray tomosynthesis,” Applied Optics, vol. 60, pp. 6177-6188, 2021.DOI
19 
Y. Tian, C. Lu, X. Zhang, et al., “Solving large-scale multi-objective optimization problems with sparse optimal solutions via unsupervised neural networks,” IEEE Transactions on Cybernetics, vol. 51, pp. 3115-3128, 2021.DOI
20 
M. J. Morshed, J. Ben Hmida, A. Fekih, “A probabilistic multi-objective approach for power flow optimization in hybrid wind-PV-PEV systems,” Applied Energy, vol. 211, pp. 1136-1149, 2018DOI
21 
R. Goel, R. Maini, “Improved multi-ant-colony algorithm for solving multi-objective vehicle routing problems,”Scientia Iranica, vol. 28, no. 6, pp. 3412-3428, 2021.DOI