A Aralex Aachen research explorer

July 07, 2021 conference-paper Open access

Towards large scale automated algorithm design by integrating modular benchmarking frameworks

Genetic and Evolutionary Computation Conference Companion (GECCO Companion)

DOI: 10.1145/3449726.3463155 Full text (OA) OpenAlex

Authors 0

Author list not loaded yet.

Cited by 5 stored of 8

IOHexperimenter: Benchmarking Platform for Iterative Optimization Heuristics
2023 Evolutionary Computation article Computer Science Metaheuristic Optimization Algorithms Research Open access

35

citations
Sparkle: Toward Accessible Meta-Algorithmics for Improving the State of the Art in Solving Challenging Problems
2022 IEEE Transactions on Evolutionary Computation article Computer Science Metaheuristic Optimization Algorithms Research Open access

2

citations
The importance of landscape features for performance prediction of modular CMA-ES variants
2022 Genetic and Evolutionary Computation Conference (GECCO) conference-paper Computer Science Metaheuristic Optimization Algorithms Research Open access

15

citations
Automated Configuration of Genetic Algorithms by Tuning for Anytime Performance
2022 IEEE Transactions on Evolutionary Computation article Computer Science Metaheuristic Optimization Algorithms Research Open access

22

citations
IOHanalyzer: Detailed Performance Analyses for Iterative Optimization Heuristics
2022 ACM Transactions on Evolutionary Learning and Optimization article Computer Science Metaheuristic Optimization Algorithms Research Open access

61

citations

5 results

References 1

Benchmarking a $$(\mu +\lambda )$$ Genetic Algorithm with Configurable Crossover Probability
2020 Lecture notes in computer science conference-paper Computer Science Metaheuristic Optimization Algorithms Research Open access

15

citations

1 result