IEEE Distinguished Lecture hosted by the School of Science (Computer Science Software Engineering), RMIT University and the IEEE Victorian Section Computational Intelligence Chapter: “Evolutionary Multi-Objective Optimization using Hybrid Approaches”, presented by Professor Carlos Coello Coello, Computer Science Department, CINVESTAV-IPN, Mexico.

Prof. Coello’s IEEE Distinguished Lecture was given on Thursday 17 August 2017, from 18:00 – 19:00, at RMIT City campus (Building 14). This lecture was publicized as sponsored by IEEE Computational Intelligence Society and IEEE Victorian Section CI Chapter.  The announcement was made at the local IEEE Victorian Section website and distributed through its mailing list as well.


The use of evolutionary algorithms for solving multi-objective optimization problems has become increasingly popular, mainly within the last 15 years. From among the several research trends that have originated in recent years, one of the most promising is the use of hybrid approaches that allow to improve the performance of multi-objective evolutionary algorithms (MOEAs). In this talk, some of the most representative research on the use of hybrid approaches in evolutionary multi-objective optimization will be discussed. The topics discussed will include multi-objective memetic algorithms, hybridization of MOEAs with gradient-based methods and with direct search methods, as well as multi-objective hyperheuristics. Some potential paths for future research in this area will also be briefly discussed.


This talk by Prof. Carlos Coello Coello was very well received, with about 40 people attending from different universities, research institutes, and IEEE sections across Melbourne.  Before the talk, there were refreshment and snack food provided to allow people to chat with Carlos more informally. The talk lased about 80 minutes, with plenty of questions from the audience. Prof. Coello’s talk was engaging and inspiring to many of us. Several PhD students asked questions in relation to their own studies, and they were particularly benefited from Prof. Coello’s advices.

During this visit, Prof. Coello has also had several meetings with our RMIT ECML members. These discussions were immensely helpful to our ECML staff and PhD students. They were so excited about meeting one of the pioneers and world authorities on multiobjective and constrained optimization. We are very grateful for IEEE CIS providing such an opportunity! We will continue to communicate with Prof. Carlos Coello Coello, hoping to start collaboration on some research projects in the coming years.