( en | de | ru )

 

Disambiguation of "Oliveto, Pietro S."

Author of the publication

copydeleteadd this publication to your clipboard
Fast Immune System-Inspired Hypermutation Operators for Combinatorial Optimization.

, , and . IEEE Trans. Evol. Comput., 25 (5): 956-970 (2021)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

Pietro Cortona

Pietro Moretto

Stefano Pietro

Pietro Cavallotti

Pietro Tierno

 

Other publications of authors with the same name

Tutorials at PPSN 2016., , , , , , , , , and 19 other author(s). PPSN, volume 9921 of Lecture Notes in Computer Science, page 1012-1022. Springer, (2016)Rigorous Performance Analysis of Hyper-heuristics.. Automated Design of Machine Learning and Search Algorithms, Springer, (2021)How Theoretical Analyses Can Impact Practical Applications of Evolutionary Computation.. IJCCI, page 5. ScitePress, (2019)Runtime analysis of population-based evolutionary algorithms., and . GECCO Companion, page 1398-1426. ACM, (2022)On the Time Complexity of Algorithm Selection Hyper-Heuristics for Multimodal Optimisation., , and . AAAI, page 2322-2329. AAAI Press, (2019)Simplified Drift Analysis for Proving Lower Bounds in Evolutionary Computation., and . Algorithmica, 59 (3): 369-386 (2011)Computational Complexity Analysis of Genetic Programming., and . Theory of Evolutionary Computation, Springer, (2020)Analysis of population-based evolutionary algorithms for the vertex cover problem., , and . IEEE Congress on Evolutionary Computation, page 1563-1570. IEEE, (2008)When hypermutations and ageing enable artificial immune systems to outperform evolutionary algorithms., , and . Theor. Comput. Sci., (2020)Runtime analysis of evolutionary algorithms: basic introduction., and . GECCO Companion, page 399-425. ACM, (2021)