LIRA Invited Seminar - Dr Manuel López-Ibáñez

Wednesday 28 July 2021, 1:00pm to 2:00pm

Venue

Online via MS Teams

Open to

All Lancaster University (non-partner) students, Alumni, Applicants, External Organisations, Postgraduates, Prospective International Students, Prospective Postgraduate Students, Prospective Undergraduate Students, Public, Staff, Undergraduates

Registration

Registration not required - just turn up

Event Details

LIRA Invited Seminar - Dr Manuel López-Ibáñez: Automatic algorithm configuration and design

The next LIRA seminar will take place on Wednesday 28th July, at 1:00pm. Details of the talk are given below.

Calendar entry: 28th July 2021, 1:00pm-2:00pm

Where: via MS Teams

Speaker: Dr Manuel López-Ibáñez (University of Malaga, Spain)

Title: Automatic algorithm configuration and design

Abstract: Users and designers of modern optimization algorithms face the challenge of too many available design choices and parameter settings that need to be configured to tackle their particular problem of interest. Modern automatic configuration methods, such as irace, are off-the-shelf, easy to use and flexible tools that largely solve this problem in most typical scenarios. Their success is motivating a paradigm shift in how new algorithms and algorithmic frameworks are being designed, but also raises questions on how to integrate human designer preferences into such an automatic design procedure.

Brief bio: Dr. López-Ibáñez is Senior Distinguished Researcher at the University of Málaga (Spain) and a Senior Lecturer (Associate Professor) in the Decision and Cognitive Sciences Research Centre at the Alliance Manchester Business School, University of Manchester, UK. He received the M.S. degree in computer science from the University of Granada, Granada, Spain, in 2004, and the Ph.D. degree from Edinburgh Napier University, U.K., in 2009. He has published 27 journal papers, 9 book chapters and 48 papers in peer-reviewed proceedings of international conferences on diverse areas such as evolutionary algorithms, ant colony optimization, multi-objective optimization, pump scheduling and various combinatorial optimization problems. His current research interests are experimental analysis and automatic design of stochastic optimization algorithms, for single and multi-objective optimization. He is the lead developer and current maintainer of the irace software package (http://iridia.ulb.ac.be/irace).

Join: Via MS Teams

Contact Details

Name Ahmed Kheiri
Email

a.kheiri@lancaster.ac.uk