Efficient Scheduling of GECCO Conferences using Hyper-heuristic Algorithms

Kheiri, Ahmed and Pylyavskyy, Yaroslav and Jacko, Peter (2024) Efficient Scheduling of GECCO Conferences using Hyper-heuristic Algorithms. In: GECCO 2024 Companion - Proceedings of the 2024 Genetic and Evolutionary Computation Conference Companion :. GECCO 2024 Companion - Proceedings of the 2024 Genetic and Evolutionary Computation Conference Companion . Association for Computing Machinery, Inc, AUS, pp. 1732-1737. ISBN 9798400704956

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Abstract

We propose the development of a conference scheduler tailored specifically for the Genetic and Evolutionary Computation Conference (GECCO). Our proposed flexible approach allows GECCO organisers to optimise conference schedules according to their specific needs and available resources. Using hyper-heuristic methods, our scheduler generates optimised solutions for in-person and hybrid GECCO conferences. We validate our method using data from GECCO2019 and demonstrate its effectiveness by successfully creating schedules for GECCO conferences from 2020 onwards.