Thursday, March 31, 2022

[DMANET] CfP: COMPETITION ON EVOLUTIONARY SUBMODULAR OPTIMISATION

CALL FOR PARTICIPATION
COMPETITION ON EVOLUTIONARY SUBMODULAR OPTIMISATION
to be held as part of the 2022 Genetic and Evolutionary Computation Conference (GECCO 2022) organised by ACM SIGEVO (https://gecco-2022.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.
Competition webpage: https://cs.adelaide.edu.au/~optlog/CompetitionESO2022.php
The submission deadline: 26 June 2022, AoE.
Organisers: Aneta Neumann, the University of Adelaide, Australia,
Frank Neumann, the University of Adelaide, Australia,
Chao Qian, Nanjing University, China.

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. Please let us know if you have any further questions.

Best wishes,
Aneta, Frank and Chao


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