Özyeğin University, Çekmeköy Campus Nişantepe District, Orman Street, 34794 Çekmeköy - İSTANBUL

Phone : +90 (216) 564 90 00

Fax : +90 (216) 564 99 99

E-mail: info@ozyegin.edu.tr

Jan 14, 2021 - Jan 18, 2021

Thesis Defense - Yurtsev Mıhçıoğlu (MSIE)

 

Yurtsev Mıhçıoğlu - M.Sc. Industrial Engineering

Asst.Prof. Erinç Albey – Advisor

 

Date: 18.01.2021

Time: 10:00

Location: This meeting will be held ONLINE. Please send an e-mail to gizem.bakir@ozyegin.edu.tr in order to participate in this defense.

 

A DECOMPOSITION-BASED METAHEURISTIC APPROACH FOR SOLVING THE RAPID NEEDS ASSESSMENT ROUTING PROBLEM

Thesis Committee:

Asst.Prof. Erinç Albey, Özyeğin University

Asst.Prof. İhsan Yanıkoğlu, Özyeğin University

Assoc.Prof. Mehmet Güray Güler, Yıldız Technical University

Abstract:

This study proposes a decomposition-based tabu search algorithm for a multi-cover routing problem (MCRP), which aims to classify and evaluate the impacts of the disaster in different sites and the needs of different community groups affected by a disaster when remote communication is not possible, and highlights the solution time and quality performances of the introduced algorithm. The algorithm focuses on decomposing the problem to three phases and to apply different methods while solving them. Performance of the proposed tabu search algorithm is evaluated with respect to different benchmark solutions, findings are put to statistical tests, and the results indicate that the proposed algorithm can achieve high-quality solutions expeditiously, providing better results on average compared with the best-known solutions existing in the literature.

Bio: 

Yurtsev Mıhçıoğlu graduated from Kartal Anatolian High School in 2013. He received his B.Sc. degree in Industrial Engineering from Ozyeğin University in January 2018 and continued his education by joining the Master of Science program in Industrial Engineering at Ozyeğin University, under the supervision of Assistant Professor Erinç Albey. His main research areas are combinatorial optimization and heuristic & metaheuristic methods.