CS SEMINAR

Optimisation Problems and Algorithms

Speaker
Dr. Seyedali Mirjalili, Griffith University
Chaired by
Dr DONG Jin Song, Professor, School of Computing
dongjs@comp.nus.edu.sg

14 Feb 2019 Thursday, 02:00 PM to 04:00 PM

SR3, COM1-02-12

Abstract:

Over the last two decades, heuristic and meta-heuristic optimisation techniques have been widely used in both science and industry. Despite the substantial popularity and impact of such methods, optimisation of real-world problems involves addressing a large number of difficulties including, but not limited to: local solutions, multiple objectives, constraints, expensive objective function, noisy objective function, dynamic search space, and uncertainties. In this talk, a brief discussion on preliminaries and key components of optimisation problems will be given first. Then, the process of solving an optimization problem using an optimisation algorithm will be discussed. The main part of this talk is about the pros and cons of conventional and modern optimisation algorithms to solve optimisation problems. The talk also focuses on the state-of-the-art techniques to handle the above-mentioned challenges when solving real-world optimisation problems.


Biodata:

Dr. Seyedali Mirjalili is a lecturer at Griffith College/University and internationally recognised for his contributions to the fields of Swarm Intelligence and Robust Optimization. Dr Mirjalili has published over 100 journal articles with over 7000 citations in total. From Google Scholar metrics, he is globally the third most cited researcher in Engineering Optimisation and Robust Optimisation. He is serving an associate editor of Applied Soft Computing, IEEE Access, Advances in Engineering Software, Applied Intelligence, and the journal of Algorithms. His papers can be found at: https://scholar.google.com/citations?user=TJHmrREAAAAJ&hl=en