Research output per year
Research output per year
Personal profile
Research interests
My main research interests are in theory of evolutionary computation and randomized search heuristics. Currently I am working on the analysis of competitive co-evolutionary algorithms.
Keywords
- QA75 Electronic computers. Computer science
- evolutionary computation
- runtime analysis
- coevolutionary algorithms
- evolutionary algorithms
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Collaborations and top research areas from the last five years
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Hard problems are easier for success-based parameter control
Hevia Fajardo, M. & Sudholt, D., 8 Jul 2022, GECCO '22: Proceedings of the Genetic and Evolutionary Computation Conference. Fieldsend, J. E. (ed.). New York: Association for Computing Machinery , p. 796–804 9 p. (Proceedings of the Genetic and Evolutionary Computation Conference).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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Theoretical and Empirical Analysis of Parameter Control Mechanisms in the (1 + (λ, λ)) Genetic Algorithm
Fajardo, M. A. H. & Sudholt, D., Dec 2022, In: ACM Transactions on Evolutionary Learning and Optimization. 2, 4, 39 p., 13.Research output: Contribution to journal › Article › peer-review
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Self-adjusting offspring population sizes outperform fixed parameters on the cliff function
Fajardo, M. A. H. & Sudholt, D., 6 Sept 2021, FOGA '21: Proceedings of the 16th ACM/SIGEVO Conference on Foundations of Genetic Algorithms. New York: Association for Computing Machinery (ACM), 15 p. 5. (FOGA: Foundations of Genetic Algorithms).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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Self-adjusting population sizes for non-elitist evolutionary algorithms: why success rates matter
Fajardo, M. A. H. & Sudholt, D., 26 Jun 2021, GECCO '21: Proceedings of the Genetic and Evolutionary Computation Conference. Chicano, F. (ed.). New York: Association for Computing Machinery (ACM), p. 1151–1159 9 p. (Genetic and Evolutionary Computation Conference (GECCO)).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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On the choice of the parameter control mechanism in the (1+ (λ, λ)) Genetic Algorithm
Fajardo, M. A. H. & Sudholt, D., 25 Jun 2020, Proceedings of the 2020 Genetic and Evolutionary Computation Conference.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution