Home Events - OPTIMA Seminar 07 August 2024 16:00 (AEST)

Date

Aug 07 2024

Time

AEST AUSTRALIA
4:00 pm - 5:00 pm

Cost

$0

Seminar 07 August 2024 16:00 (AEST)

Title: Evolutionary Algorithms for Computing Diverse Sets of High Quality Solutions

Speaker: Prof. Frank Neumann

Summary:
In the classical setting evolutionary algorithms (EAs) are used to compute a single solution of high quality with respect to the objective function or a set of trade-off solutions in the field multi-objective optimization where one deals with multiple, usually conflicting objectives. Traditionally, diversity preservation is introduced to prevent premature convergence. In many engineering applications and in the field of algorithm selection/configuration however, it is beneficial to produce a set of solutions that is (1) of high quality and (2) diverse with respect to the search space and/or some features of the given problem. Evolutionary diversity optimization enables the computation of a large variety of new and innovative solutions that are unlikely to be produced by traditional evolutionary computation methods for single-objective or multi-objective optimization. In this talk, I will give an introduction into evolutionary diversity optimization and highlight some recent results from the areas of communication networks and health.

Biography:
Frank Neumann is a professor and the leader of the Optimisation and Logistics group at the University of Adelaide and has been an Honorary Professorial Fellow at the University of Melbourne (2019-2023). His current position is funded by the Australian Research Council through a Future Fellowship and focuses on AI-based optimisation methods for problems with stochastic constraints. Frank has been the general chair of the ACM GECCO 2016 and co-organised ACM FOGA 2013 in Adelaide. He is an Associate Editor of the journals “Evolutionary Computation” (MIT Press) and ACM Transactions on Evolutionary Learning and Optimization. In his work, he considers algorithmic approaches in particular for combinatorial and multi-objective optimization problems and focuses on theoretical aspects of evolutionary computation as well as high impact applications in the areas of cybersecurity, renewable energy, logistics, and mining.

MEETING ID: 873 1557 5255; PASSWORD: 778635

WED 07 AUGUST 2024 16:00-17:00 (AEST, Melbourne Time)

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Date

Aug 07 2024

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OPTIMA

Advancing an industry-ready optimisation toolkit, while training a new generation of industry practitioners and over 120 young researchers, who will vanguard a highly skilled workforce of change agents for industrial transformation.

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