Ant Colony Optimization for Optimal Control Problems
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@Article{JICS-4-259,
author = {Akbar H. Borzabadi , and Hamed H. Mehne},
title = {Ant Colony Optimization for Optimal Control Problems},
journal = {Journal of Information and Computing Science},
year = {2024},
volume = {4},
number = {4},
pages = {259--264},
abstract = { Ant algorithm optimization is used to solve a general class of optimal control problems with
single input control. The discretized form of the optimal control problem is converted to a quasi quadratic
assignment problem in the time-control space. By applying the ant optimization algorithm on this problem, a
piece-wise constant approximation is obtained for the optimal control. Implementation of the method and
numerical results are also discussed.
},
issn = {1746-7659},
doi = {https://doi.org/},
url = {http://global-sci.org/intro/article_detail/jics/22734.html}
}
TY - JOUR
T1 - Ant Colony Optimization for Optimal Control Problems
AU - Akbar H. Borzabadi , and Hamed H. Mehne
JO - Journal of Information and Computing Science
VL - 4
SP - 259
EP - 264
PY - 2024
DA - 2024/01
SN - 4
DO - http://doi.org/
UR - https://global-sci.org/intro/article_detail/jics/22734.html
KW - Meta-heuristic algorithms, ant colony optimization, optimal control problems.
AB - Ant algorithm optimization is used to solve a general class of optimal control problems with
single input control. The discretized form of the optimal control problem is converted to a quasi quadratic
assignment problem in the time-control space. By applying the ant optimization algorithm on this problem, a
piece-wise constant approximation is obtained for the optimal control. Implementation of the method and
numerical results are also discussed.
Akbar H. Borzabadi , and Hamed H. Mehne. (2024). Ant Colony Optimization for Optimal Control Problems.
Journal of Information and Computing Science. 4 (4).
259-264.
doi:
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