Papers accepted at GECCO 2020

Two papers from Data Science group members have been accepted for oral presentation at GECCO 2020.

Congratulations to Ismail Mohamed, a PhD student supervised by Dr Fernando Otero and Prof. Peter Rodgers, and to Dr Fernando Otero, who had their papers accepted at the 2020 Genetic and Evolutionary Computation Conference (GECCO 2020) in Cancun, Mexico this coming July.

Ismail’s paper (titled ‘A Multiobjective Optimization Approach for Market Timing’) presents an adaptation of both a Genetic Algorithm and Particle Swarm Optimization to tackle market timing as a multiobjective optimization problem; and provides an in-depth discussion of results and avenues of future research.

In Fernando’s paper (titled ‘Exploratory Path Planning for Mobile Robots in Dynamic Environments with Ant Colony Optimization’) the authors propose the Max-Min Ant System for Dynamic Path Planning algorithm for the exploratory path planning task for autonomous mobile robots based on topological maps.

Given the current situation with COVID-19 around the world, GECCO 2020 will be an electronic-only conference, where speakers will be given the opportunity to present their papers via video-link.


Image credits: GECCO conference 2020

Leave a Reply