Searching for Benchmark Problem Instances from Data-Driven Optimisation
Sarah Hajari, Marcus Gallagher · Proceedings of the Genetic and Evolutionary Computation Conference Companion · 2024
Given the large number of existing metaheuristic optimisation algorithms, there has been an increasing focus on improving benchmarking practices, to gain an improved understanding empirical performance, as well as matching algorithms and problems. One important aspect of this more diversity in test problem sets so that algorithms are evaluated on a wider range of problem instances, including problems that are more real-world representative.