Current Trends in Multi-Objective Search in Artificial Intelligence
Dr. Carlos Hernández, Ph.D.
ABSTRACT
In many real-world problems, it is necessary to optimize more than one criterion or objective function. Some examples are the planning of electric vehicle trips (which involves minimizing energy consumption and travel time, among other objectives), the planning of electric transmission lines (which involves optimizing the cost of energy transmission and the impact in communities, among other economic, social or environmental objectives), and last-mile delivery (which involves customer satisfaction and delivery costs, among others). In this talk, the algorithms of state of the art to solve this type of problem developed by our research group will be presented. In addition, experimental evidence that supports our research, and is part of the current and future work, will be given.
BIOSKETCH
Carlos Hernández received the bachelor degree from the Universidad de Concepción, Chile, and the Ph.D. degree in computer science from the Universidad Autónoma de Barcelona, Spain. He is currently a Professor in the Faculty of Engineering, Universidad San Sebastian (USS). His research interests include heuristic search, automated planning, and knowledge representation, with a focus on real-time, on-line, and multi-objective problems. He is the President of the Chilean Association of Computer Science (SCCC) from 2019 to 2022.