IEEE Taskforce on Evolutionary Scheduling and Combinatorial Optimisation

IEEE Computational Intelligence Society

Evolutionary Computation Technical Committee



Evolutionary Scheduling and Combinatorial Optimisation Webinar Series



Webinar #17: Evolutionary approaches for drone-assisted electric vehicle routings: effective strategies and lessons learned

Speaker: Setyo Tri Windras Mara, The University of New South Wales, Australia
Date: 2 September 2024
Time: 6:00 - 7:00pm (AET, UTC+10)

Speaker Biography

Setyo Tri Windras Mara is a PhD student at the University of New South Wales, Australia. His broad research interests include operational research (OR), transportation science, evolutionary optimizations, and healthcare management. To this day, his works have been published in various widely respected publishing avenues at the intersection between OR and computational intelligence. He also serves as a reviewer in several top journals, such as Computers & Operations Research, Computers & Industrial Engineering, and Expert Systems with Applications. In addition, Setyo is the co-initiator and a board member of OPSID, a community of young Indonesian researchers in OR and operations management.

Abstract

Driven by the pursuit of sustainability, the integration of modern transportation modes such as electric vehicles (EVs) and drones has been a rising trend in logistics. Assessing the real-life implementation of such innovative systems requires significant capital investments. Thus, modelling and optimization approaches are preferred to assist the decision-making in this area. Still, challenges occur as the arising optimization models from the coordination between EVs and drones are computationally expensive to solve in practical problem sizes. Therefore, in my PhD research, evolutionary approaches are consulted to handle these challenges. In this talk, the effective strategies and lessons learned from the implementation of evolutionary approaches for solving EV-drone logistics models will be discussed.

The slides of the Webinar can be found here.


Back to the Webinar Series