Pehlivanoğlu, Volkan

Profile Picture
Profile URL
https://hdl.handle.net/20.500.14365/7214
Name Variants
Volkan Pehlivanoglu, Y.
Pehlivanoglu, Y. Volkan
Pehlivanoglu, Volkan Yasin
Job Title
Email Address
volkan.pehlivanoglu@ieu.edu.tr
Main Affiliation
05.01. Aerospace Engineering
Status
Former Staff
Website
ORCID ID
0009-0007-0591-0483
Scopus Author ID
16837255100
Turkish CoHE Profile ID
Google Scholar ID
WoS Researcher ID
FQH-2674-2022

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Documents

17

Citations

942

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10

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Documents

3

Citations

11

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Scholarly Output

2

Articles

2

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0/0

Supervised MSc Theses

0

Supervised PhD Theses

0

WoS Citation Count

25

Scopus Citation Count

28

WoS h-index

2

Scopus h-index

2

Patents

0

Projects

0

WoS Citations per Publication

12.50

Scopus Citations per Publication

14.00

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0

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0

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Aerospace Scıence And Technology1
Aircraft Engineering and Aerospace Technology1
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  • Thumbnail Image
    Article
    Citation - WoS: 6
    Citation - Scopus: 6
    An Efficient Path Planning Approach for Autonomous Multi-Uav System in Target Coverage Problems
    (Emerald Group Publishing Ltd, 2024) Pehlivanoglu, Volkan Yasin; Pehlivanoğlu, Perihan
    Purpose - The purpose of this paper is to present an efficient path planning method for the multi-UAV system in target coverage problems. Design/methodology/approach - An enhanced particle swarm optimizer (PSO) is used to solve the path planning problem, which concerns the two-dimensional motion of multirotor unmanned aerial vehicles (UAVs) in a three-dimensional environment. Enhancements include an improved initial swarm generation and prediction strategy for succeeding generations. Initial swarm improvements include the clustering process managed by fuzzy c-means clustering method, ordering procedure handled by ant colony optimizer and design vector change. Local solutions form the foundation of a prediction strategy. Findings - Numerical simulations show that the proposed method could find near-optimal paths for multi-UAVs effectively. Practical implications - Simulations indicate the proposed method could be deployed for autonomous multi-UAV systems with target coverage problems. Originality/value - The proposed method combines intelligent methods in the early phase of PSO, handles obstacle avoidance problems with a unique approach and accelerates the process by adding a prediction strategy.
  • Thumbnail Image
    Article
    Citation - WoS: 19
    Citation - Scopus: 22
    Efficient Accelerators for Pso in an Inverse Design of Multi-Element Airfoils
    (Elsevier France-Editions Scientifiques Medicales Elsevier, 2019) Pehlivanoğlu, Volkan
    The main object in aerodynamic design is a wing. High lift (HL) systems are probably the main concern in wing design optimization due to strict regulations. An optimization of high lift systems is difficult because of flow physics and high number of design parameters. Evolutionary algorithms including particle swarm optimization (PSO) are popular methods in HL system optimization. However, the computational burden of PSO may be a serious issue in process. In this article, efficient accelerators are integrated to PSO and applied to an inverse design of multi-element airfoils. The comparative test cases demonstrated that remarkable reductions in computational times have been accomplished. (C) 2019 Elsevier Masson SAS. All rights reserved.