Andre Opris
Orcid: 0000-0002-7730-7831
According to our database1,
Andre Opris
authored at least 21 papers
between 2022 and 2025.
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Bibliography
2025
A First Runtime Analysis of the PAES-25: An Enhanced Variant of the Pareto Archived Evolution Strategy.
CoRR, July, 2025
Tight Runtime Guarantees From Understanding the Population Dynamics of the GSEMO Multi-Objective Evolutionary Algorithm.
CoRR, May, 2025
A First Runtime Analysis of NSGA-III on a Many-Objective Multimodal Problem: Provable Exponential Speedup via Stochastic Population Update.
CoRR, May, 2025
A Royal Road Function for Permutation Spaces: an Example Where Order Crossover is Provably Essential.
Proceedings of the Genetic and Evolutionary Computation Conference, 2025
Why Dominance Is Not Enough: Lessons from Practical Evolutionary Multi-Objective Algorithms.
Proceedings of the Genetic and Evolutionary Computation Conference, 2025
Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025
2024
Theoretical Analysis of Quality Diversity Algorithms for a Classical Path Planning Problem.
CoRR, 2024
A Tight O(4<sup>k</sup>/p<sub>c</sub>) Runtime Bound for a (μ+1) GA on Jump<sub>k</sub> for Realistic Crossover Probabilities.
CoRR, 2024
Crossover can guarantee exponential speed-ups in evolutionary multi-objective optimisation.
Artif. Intell., 2024
Level-Based Theorems for Runtime Analysis of Multi-objective Evolutionary Algorithms.
Proceedings of the Parallel Problem Solving from Nature - PPSN XVIII, 2024
On the Equivalence Between Stochastic Tournament and Power-Law Ranking Selection and How to Implement Them Efficiently.
Proceedings of the Parallel Problem Solving from Nature - PPSN XVIII, 2024
Guiding Quality Diversity on Monotone Submodular Functions: Customising the Feature Space by Adding Boolean Conjunctions.
Proceedings of the Genetic and Evolutionary Computation Conference, 2024
A Tight <i>O</i>(4<i><sup>k</sup>/p<sub>c</sub></i>) Runtime Bound for a (μ+1)GA on Jump<i><sub>k</sub></i> for Realistic Crossover Probabilities.
Proceedings of the Genetic and Evolutionary Computation Conference, 2024
Hot of the Press: Crossover Can Guarantee Exponential Speed-Ups in Evolutionary Multi-Objective Optimisation.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2024
Proceedings of the Genetic and Evolutionary Computation Conference, 2024
Illustrating the Efficiency of Popular Evolutionary Multi-Objective Algorithms Using Runtime Analysis.
Proceedings of the Genetic and Evolutionary Computation Conference, 2024
2023
J. Log. Anal., 2023
Proceedings of the Genetic and Evolutionary Computation Conference, 2023
A Proof That Using Crossover Can Guarantee Exponential Speed-Ups in Evolutionary Multi-Objective Optimisation.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
2022