Vural Aksakalli, Ph.D.
Affiliations: | 2007 | Johns Hopkins University, Baltimore, MD |
Area:
Operations Research, Artificial IntelligenceGoogle:
"Vural Aksakalli"Parents
Sign in to add mentorDonniell Fishkind | grad student | 2007 | Johns Hopkins | |
(Protocols for stochastic shortest path problems with dynamic learning.) |
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Publications
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Madadi B, Aksakalli V. (2020) A stochastic approximation approach to spatio-temporal anchorage planning with multiple objectives Expert Systems With Applications. 146: 113170 |
Yildirim S, Aksakalli V, Alkaya AF. (2019) Canadian Traveler Problem with Neutralizations Expert Systems With Applications. 132: 151-165 |
Harabor D, Grastien A, Öz D, et al. (2016) Optimal any-angle pathfinding in practice Journal of Artificial Intelligence Research. 56: 89-118 |
Aksakalli V, Sahin OF, Ari I. (2016) An AO∗ based exact algorithm for the Canadian traveler problem Informs Journal On Computing. 28: 96-111 |
Aksakalli V, Malekipirbazari M. (2016) Feature selection via binary simultaneous perturbation stochastic approximation Pattern Recognition Letters. 75: 41-47 |
Oz D, Aksakalli V, Alkaya AF, et al. (2015) An anchorage planning strategy with safety and utilization considerations Computers and Operations Research. 62: 12-22 |
Alkaya AF, Aksakalli V, Priebe CE. (2015) A penalty search algorithm for the obstacle neutralization problem Computers and Operations Research. 53: 165-175 |
Aksakalli V, Ari I. (2014) Penalty-based algorithms for the stochastic obstacle scene problem Informs Journal On Computing. 26: 370-384 |
Bulu M, Önder MA, Aksakalli V. (2014) Algorithm-embedded IT applications for an emerging knowledge city: Istanbul, Turkey Expert Systems With Applications. 41: 5625-5635 |
Ari I, Aksakalli V, Aydoǧdu V, et al. (2013) Optimal ship navigation with safety distance and realistic turn constraints European Journal of Operational Research. 229: 707-717 |