Development of a new approach algorithm for ant colony optimization using Python program
*Hanan Abdul Hamza HasanCorresponding authorhanan1151983@gmail.comDepartment of MathematicsUniversity of BabylonBabylon, 51002, Iraq0000-0001-5759-6413View full profile → , Ahmed Sabah Ahmedaljelawy2000@yahoo.comDepartment of MathematicsUniversity of BabylonBabylon, 51002, Iraq0000-0002-9033-4498View full profile →
* Corresponding author · click or hover a name for details
- Received:
- 05 Jun 2024
- Published Online:
- 13 Feb 2025
- Article type:
- Research Article
- Language:
- EN
- Article no.:
- JIM-1800
- Pages:
- 95–105
Abstract
Keywords
Subject Classifications
References
[1] B. Shuang, J. Chen, and Z. Li, “Study on hybrid PS-ACO algorithm,” Applied Intelligence, vol. 34, no. 1, pp. 64–73 (2011).
[2] S. Li, Y. Wei, X. Liu, H. Zhu, and Z. Yu, “A new fast ant colony optimization algorithm: the saltatory evolution ant colony optimization algorithm,” Mathematics, vol. 10, no. 6, p. 925 (2022).
[3] X. Xie, Z. Tang, and J. Cai, “The multi-objective inspection path-planning in radioactive environment based on an improved ant colony optimization algorithm,” Progress in Nuclear Energy, vol. 144, p. 104076 (2022).
[4] L. Wu, X. Huang, J. Cui, C. Liu, and W. Xiao, “Modified adaptive ant colony optimization algorithm and its application for solving path planning of mobile robot,” Expert Systems with Applications, vol. 215, p. 11941 (2023).
[5] S. Kashef and H. Nezamabadi-Pour, “An advanced ACO algorithm for feature subset selection,” Neurocomputing, vol. 147, pp. 271–279 (2015).
[6] T. Liao, T. Stützle, M. A. M. de Oca, and M. Dorigo, “A unified ant colony optimization algorithm for continuous optimization,” European Journal of Operational Research, vol. 234, no. 3, pp. 597–609 (2014).
[7] X. Chen, Y. Kong, X. Fang, and Q. Wu, “A fast two-stage ACO algorithm for robotic path planning,” Neural Computing and Applications, vol. 22, pp. 313–319 (2013).
[8] A. G. Gad, “Particle swarm optimization algorithm and its applications: a systematic review,” Archives of Computational Methods in Engineering, vol. 29, no. 5, pp. 2531–2561 (2022).
[9] R. Dorfman, P. A. Samuelson, and R. M. Solow, Linear Programming and Economic Analysis. Courier Corporation (1987).
[10] G. B. Dantzig, Linear Programming and Extensions. Princeton University Press (1998).
[11] X.-S. Yang, Optimization and Metaheuristic Algorithms in Engineering, Metaheuristics in Water, Geotechnical, and Transport Engineering, vol. 1, p. 23 (2013).
[12] D. P. Bertsekas, “Nonlinear programming,” Journal of the Operational Research Society, vol. 48, no. 3, p. 334 (1997).
[13] R. C. Robinson, Introduction to Mathematical Optimization, Department of Mathematics, Northwestern University, Illinois, USA (2013).
[14] M. R. Farahani, S. Jafari, S. A. Mohiuddine, and M. Cancan, “Intuitionistic fuzzy stability of generalized additive set-valued functional equation via fixed point method,” Mathematical Statistician and Engineering Applications, vol. 71, no. 3s3, pp. 142–154 (2022). [Online]. Available: https://www.philstat.org.ph/index.php/MSEA/article/view/355.
[15] M. R. Farahani, J. E. N. Valdes, M. Cancan, S. Jafari, and C. Park, “Fuzzy stability in the sense of Hyers-Ulam-Rassias of a functional equation on quadratic forms,” J. Interdiscip. Math., vol. 26, no. 6, pp. 1355–1365. [Online]. Available: https://doi.org/10.47974/JIM-1633.
[16] S. M. Kadham and M. A. Mustafa, “Medical applications of the new-transform,” J. Interdiscip. Math., vol. 26, no. 6, pp. 1341–1353. [Online]. Available: https://doi.org/10.47974/JIM-1632.
[17] S. M. Kadham and M. A. Mustafa, “Fuzzy SHmath. Mbio-transform generalization and application to skin cancer imaging (distributed diseases),” J. Interdiscip. Math., vol. 26, no. 6, pp. 1031–1042. [Online]. Available: https://doi.org/10.47974/JIM-1603.
[18] R. H. Hasan, M. A. Kadhim, and A. M. Darweesh, “Fuzzy partial T-transforms applied to a system of PDE,” J. Interdiscip. Math., vol. 26, no. 6, pp. 1099–1107. [Online]. Available: https://doi.org/10.47974/JIM-1609.
[19] S. Jafari, M. R. Farahani, and M. Rajesh, “Double fuzzy rarely continuous functions,” Annals of Fuzzy Mathematics and Informatics, vol. 26, no. 1, pp. 35–45.
[20] M. B. Salman and W. H. Hanoon, “Fuzzy scl-semi 2-ABSO submd and related concepts,” J. Interdiscip. Math., vol. 26, no. 6, pp. 1231–1242. [Online]. Available: https://doi.org/10.47974/JIM-1621.
[21] A. S. Abed and A. T. Hameed, “The fuzzy results on SA-algebra,” J. Interdiscip. Math., vol. 26, no. 6, pp. 1273–1280. [Online]. Available: https://doi.org/10.47974/JIM-1625.
[23] Z. H. Abdulabbas and L. A. R. Al Asadi, “Calculating Dynamic Strengths of Concrete Subjected to Impact Load,” Key Engineering Materials, vol. 895, pp. 12–19 (Aug. 2021), doi: https://doi.org/10.4028/www.scientific.net/kem.895.12.
[24] R. A. Kamil, H. M. Atiea, A. A. Kadhem, Layth Abdulrasool Alasadi, and Q. A. Jabal, “Improvement of the mechanical properties of polymer-modified concrete by using PC superplasticizer,” Pollack Periodica, vol. 18, no. 3, pp. 14–19 (Jul. 2023), doi: https://doi.org/10.1556/606.2023.00742.
[25] S. M. Kadham, “Acute interstitial pneumonia image enhancement using fuzzy partial transforms,” Applied Geomatics, vol. 16, no. 1, pp. 35–39 (May 2023), doi: https://doi.org/10.1007/s12518-023-00509-8.
[26] H. S. Al-Bahrani, L. A. Al-Asadi, L. K. Al-Waeli, H. F. Al-Isawi, and A. M. Al-Jobory, “Determining new way to detect hydrocarbon polluted water at vertical and horizontal spaces,” Materials Today: Proceedings, vol. 42, pp. 2071–2075, 2021, doi: https://doi.org/10.10




