CALL FOR PARTICIPATION
COMPETITION ON EVOLUTIONARY SUBMODULAR OPTIMISATION
to be held as part of the 2023 Genetic and Evolutionary Computation Conference (GECCO 2023) organised by ACM SIGEVO (https://gecco-2023.sigevo.org).
Submodular functions play a key role in the area of optimisation as they allow to model many real-world optimisation problems. Submodular functions
model a wide range of problems where the benefit of adding solution components diminishes with the addition of elements. They form an important class of optimization problems, and are extensively studied in the literature. Problems that may be formulated in
terms of submodular functions include influence maximization in social networks, maximum coverage, maximum cut in graphs, sensor placement problem, and sparse regression. In recent years, the design and analysis of evolutionary algorithms for submodular optimisation
problems has gained increasing attention in the evolutionary computation and artificial intelligence community.
The aim of the competition is to provide a platform for researchers working evolutionary computing methods and interested in benchmarking them
on a wide class of combinatorial optimization problems. The competition will benchmark evolutionary computing techniques for submodular optimisation problems and enable performance comparison for this type of problems. It provides an idea vehicle for researchers
and students to design new algorithms and/or benchmark their existing approaches on a wide class of combinatorial optimization problems captured by submodular functions.
The submission deadline: 19 June 2023, AoE.
Organisers: Aneta Neumann, University of Adelaide, Australia
Frank Neumann, University of Adelaide, Australia
Chao Qian, Nanjing University, China
Hao Wang, Leiden University, The Netherlands
Saba Sadeghi Ahouei, University of Adelaide, Australia
Jacob de Nobel, Leiden University, The Netherlands
Viet Anh Do, University of Adelaide, Australia
Diederick Vermetten, Leiden University, The Netherlands
Furong Ye, Leiden University, The Netherlands
Thomas Bäck, Leiden University, The Netherlands
Please feel free to forward this call to any colleagues who may be interested in the competition on Evolutionary Submodular Optimisation.
We are looking forward to your submission.