| 2026 | PPSN | On the Runtime Analysis of Reinforcement Learning Hyper-Heuristics. | Pietro S. Oliveto, Zhenyu Wang, Peizhou Wu, Mengqing Xu |
| 2025 | AAAI | Fast Contiguous Somatic Hypermutations for Single-Objective Optimisation and Multi-Objective Optimisation Via Decomposition. | Dogan Corus, Pietro S. Oliveto, Donya Yazdani |
| 2025 | AAAI | (1+1) Genetic Programming with Functionally Complete Instruction Sets Can Evolve Boolean Conjunctions and Disjunctions with Arbitrarily Small Error. | Benjamin Doerr, Andrei Lissovoi, Pietro S. Oliveto |
| 2025 | GECCO | On the Generalisation Performance of Geometric Semantic Genetic Programming for Boolean Functions: Learning Block Mutations. | Dogan rs, Pietro S. Oliveto |
| 2025 | GECCO | Hybrid Selection Allows Steady-State Evolutionary Algorithms to Control the Selective Pressure in Multimodal Optimisation. | Dogan Corus, Pietro S. Oliveto, Feiyang Zheng |
| 2025 | GECCO | Random Gradient Hyper-heuristics Can Learn to Escape Local Optima in Multimodal Optimisation. | Yuxuan Ma, Pietro S. Oliveto, John Alasdair Warwicker |
| 2022 | GECCO | Runtime analysis of population-based evolutionary algorithms. | Per Kristian Lehre, Pietro S. Oliveto |
| 2021 | FOGA | Automatic adaptation of hypermutation rates for multimodal optimisation. | Dogan Corus, Pietro S. Oliveto, Donya Yazdani |
| 2021 | GECCO | Runtime analysis of evolutionary algorithms: basic introduction. | Per Kristian Lehre, Pietro S. Oliveto |
| 2021 | GECCO | Runtime analysis of population-based evolutionary algorithms. | Per Kristian Lehre, Pietro S. Oliveto |
| 2020 | AAAI | How the Duration of the Learning Period Affects the Performance of Random Gradient Selection Hyper-Heuristics. | Andrei Lissovoi, Pietro S. Oliveto, John Alasdair Warwicker |
| 2020 | GECCO | Do sophisticated evolutionary algorithms perform better than simple ones? | Michael Foster, Matthew Hughes, George O. O'Brien, Pietro S. Oliveto, James Pyle, Dirk Sudholt, James Williams |
| 2020 | GECCO | Analysis of the performance of algorithm configurators for search heuristics with global mutation operators. | George T. Hall, Pietro S. Oliveto, Dirk Sudholt |
| 2020 | GECCO | Runtime analysis of population-based evolutionary algorithms: introductory tutorial at GECCO 2020. | Per Kristian Lehre, Pietro S. Oliveto |
| 2020 | GECCO | A tight lower bound on the expected runtime of standard steady state genetic algorithms. | Pietro S. Oliveto, Dirk Sudholt, Carsten Witt |
| 2020 | PPSN | Fast Perturbative Algorithm Configurators. | George T. Hall, Pietro S. Oliveto, Dirk Sudholt |
| 2019 | AAAI | On the Time Complexity of Algorithm Selection Hyper-Heuristics for Multimodal Optimisation. | Andrei Lissovoi, Pietro S. Oliveto, John Alasdair Warwicker |
| 2019 | GECCO | On the benefits of populations for the exploitation speed of standard steady-state genetic algorithms. | Dogan Corus, Pietro S. Oliveto |
| 2019 | GECCO | On inversely proportional hypermutations with mutation potential. | Dogan Corus, Pietro S. Oliveto, Donya Yazdani |
| 2019 | GECCO | Evolving boolean functions with conjunctions and disjunctions via genetic programming. | Benjamin Doerr, Andrei Lissovoi, Pietro S. Oliveto |
| 2019 | GECCO | On the impact of the cutoff time on the performance of algorithm configurators. | George T. Hall, Pietro S. Oliveto, Dirk Sudholt |
| 2019 | GECCO | Runtime analysis of evolutionary algorithms: basic introduction: introductory tutorial at GECCO 2019. | Per Kristian Lehre, Pietro S. Oliveto |
| 2019 | IJCCI | How Theoretical Analyses Can Impact Practical Applications of Evolutionary Computation. | Pietro S. Oliveto |
| 2018 | AAAI | On the Time and Space Complexity of Genetic Programming for Evolving Boolean Conjunctions. | Andrei Lissovoi, Pietro S. Oliveto |
| 2018 | GECCO | Standard steady state genetic algorithms can hillclimb faster than evolutionary algorithms using standard bit mutation. | Dogan Corus, Pietro S. Oliveto |
| 2018 | GECCO | On the runtime analysis of selection hyper-heuristics with adaptive learning periods. | Benjamin Doerr, Andrei Lissovoi, Pietro S. Oliveto, John Alasdair Warwicker |
| 2018 | GECCO | Runtime analysis of evolutionary algorithms: basic introduction. | Per Kristian Lehre, Pietro S. Oliveto |
| 2018 | PPSN | Artificial Immune Systems Can Find Arbitrarily Good Approximations for the NP-Hard Partition Problem. | Dogan Corus, Pietro S. Oliveto, Donya Yazdani |
| 2018 | PPSN | Fast Artificial Immune Systems. | Dogan Corus, Pietro S. Oliveto, Donya Yazdani |
| 2018 | PPSN | Tutorials at PPSN 2018. | Gisele Lobo Pappa, Michael T. M. Emmerich, Ana L. C. Bazzan, Will N. Browne, Kalyanmoy Deb, Carola Doerr, Marko Durasevic, Michael G. Epitropakis, Saemundur O. Haraldsson, Domagoj Jakobovic, Pascal Kerschke, Krzysztof Krawiec, Per Kristian Lehre, Xiaodong Li, Andrei Lissovoi, Pekka Malo, Luis Mart, Yi Mei, Juan Julin Merelo Guervs, Julian F. Miller, Alberto Moraglio, Antonio J. Nebro, Su Nguyen, Gabriela Ochoa, Pietro S. Oliveto, Stjepan Picek, Nelishia Pillay, Mike Preuss, Marc Schoenauer, Roman Senkerik, Ankur Sinha, Ofer M. Shir, Dirk Sudholt, L. Darrell Whitley, Mark Wineberg, John R. Woodward, Mengjie Zhang |
| 2018 | PPSN | Workshops at PPSN 2018. | Robin C. Purshouse, Christine Zarges, Sylvain Cussat-Blanc, Michael G. Epitropakis, Marcus Gallagher, Thomas Jansen, Pascal Kerschke, Xiaodong Li, Fernando G. Lobo, Julian F. Miller, Pietro S. Oliveto, Mike Preuss, Giovanni Squillero, Alberto Paolo Tonda, Markus Wagner, Thomas Weise, Dennis Wilson, Borys Wrbel, Ales Zamuda |
| 2017 | GECCO | On the runtime analysis of the opt-IA artificial immune system. | Dogan Corus, Pietro S. Oliveto, Donya Yazdani |
| 2017 | GECCO | Runtime analysis of population-based evolutionary algorithms: introductory tutorial at GECCO 2017. | Per Kristian Lehre, Pietro S. Oliveto |
| 2017 | GECCO | On the runtime analysis of generalised selection hyper-heuristics for pseudo-boolean optimisation. | Andrei Lissovoi, Pietro S. Oliveto, John Alasdair Warwicker |
| 2017 | GECCO | When is it beneficial to reject improvements? | Samadhi Nallaperuma, Pietro S. Oliveto, Jorge Prez Heredia, Dirk Sudholt |
| 2016 | EUROGP | On the Analysis of Simple Genetic Programming for Evolving Boolean Functions. | Andrea Mambrini, Pietro S. Oliveto |
| 2016 | GECCO | Escaping Local Optima with Diversity Mechanisms and Crossover. | Duc-Cuong Dang, Tobias Friedrich, Timo Ktzing, Martin S. Krejca, Per Kristian Lehre, Pietro S. Oliveto, Dirk Sudholt, Andrew M. Sutton |
| 2016 | GECCO | Runtime Analysis of Population-based Evolutionary Algorithms. | Per Kristian Lehre, Pietro S. Oliveto |
| 2016 | GECCO | When Non-Elitism Outperforms Elitism for Crossing Fitness Valleys. | Pietro S. Oliveto, Tiago Paixo, Jorge Prez Heredia, Dirk Sudholt, Barbora Trubenov |
| 2016 | PPSN | Emergence of Diversity and Its Benefits for Crossover in Genetic Algorithms. | Duc-Cuong Dang, Tobias Friedrich, Timo Ktzing, Martin S. Krejca, Per Kristian Lehre, Pietro S. Oliveto, Dirk Sudholt, Andrew M. Sutton |
| 2016 | PPSN | Tutorials at PPSN 2016. | Carola Doerr, Nicolas Bredche, Enrique Alba, Thomas Bartz-Beielstein, Dimo Brockhoff, Benjamin Doerr, Gusz Eiben, Michael G. Epitropakis, Carlos M. Fonseca, Andreia P. Guerreiro, Evert Haasdijk, Jacqueline Heinerman, Julien Hubert, Per Kristian Lehre, Luigi Malag, Juan Julin Merelo Guervs, Julian Francis Miller, Boris Naujoks, Pietro S. Oliveto, Stjepan Picek, Nelishia Pillay, Mike Preuss, Patricia Ryser-Welch, Giovanni Squillero, Jrg Stork, Dirk Sudholt, Alberto Paolo Tonda, L. Darrell Whitley, Martin Zaefferer |
| 2015 | GECCO | On Easiest Functions for Somatic Contiguous Hypermutations And Standard Bit Mutations. | Dogan Corus, Jun He, Thomas Jansen, Pietro S. Oliveto, Dirk Sudholt, Christine Zarges |
| 2015 | GECCO | Runtime Analysis of Evolutionary Algorithms: Basic Introduction. | Per Kristian Lehre, Pietro S. Oliveto |
| 2014 | GECCO | Runtime analysis of evolutionary algorithms: basic introduction. | Per Kristian Lehre, Pietro S. Oliveto |
| 2014 | GECCO | On the runtime analysis of stochastic ageing mechanisms. | Pietro S. Oliveto, Dirk Sudholt |
| 2014 | PPSN | On the Runtime Analysis of Fitness Sharing Mechanisms. | Pietro S. Oliveto, Dirk Sudholt, Christine Zarges |
| 2013 | FOGA | Approximating vertex cover using edge-based representations. | Thomas Jansen, Pietro S. Oliveto, Christine Zarges |
| 2013 | GECCO | Runtime analysis of evolutionary algorithms: basic introduction. | Per Kristian Lehre, Pietro S. Oliveto |
| 2013 | GECCO | Improved runtime analysis of the simple genetic algorithm. | Pietro S. Oliveto, Carsten Witt |
| 2013 | GECCO | Analysis of diversity mechanisms for optimisation in dynamic environments with low frequencies of change. | Pietro S. Oliveto, Christine Zarges |
| 2012 | GECCO | On the analysis of the simple genetic algorithm. | Pietro S. Oliveto, Carsten Witt |
| 2011 | GECCO | On the effectiveness of crossover for migration in parallel evolutionary algorithms. | Frank Neumann, Pietro S. Oliveto, Gnter Rudolph, Dirk Sudholt |
| 2011 | IJCCI | Evolutionary Algorithms for the Identification of Structural Systems in Earthquake Engineering. | Anastasia Athanasiou, Matteo De Felice, Giuseppe Oliveto, Pietro S. Oliveto |
| 2010 | GECCO | Ant colony optimization and the minimum cut problem. | Timo Ktzing, Per Kristian Lehre, Frank Neumann, Pietro S. Oliveto |
| 2009 | CEC | Theoretical analysis of rank-based mutation - combining exploration and exploitation. | Pietro S. Oliveto, Per Kristian Lehre, Frank Neumann |
| 2009 | GECCO | Theoretical analysis of fitness-proportional selection: landscapes and efficiency. | Frank Neumann, Pietro S. Oliveto, Carsten Witt |
| 2008 | CEC | Analysis of population-based evolutionary algorithms for the vertex cover problem. | Pietro S. Oliveto, Jun He, Xin Yao |
| 2008 | GECCO | Theoretical analysis of diversity mechanisms for global exploration. | Tobias Friedrich, Pietro S. Oliveto, Dirk Sudholt, Carsten Witt |
| 2008 | PPSN | Simplified Drift Analysis for Proving Lower Bounds in Evolutionary Computation. | Pietro S. Oliveto, Carsten Witt |
| 2007 | CEC | Evolutionary algorithms and the Vertex Cover problem. | Pietro S. Oliveto, Jun He, Xin Yao |
| 2006 | SAC | Analysis of an evolutionary algorithm with HyperMacromutation and stop at first constructive mutation heuristic for solving trap functions. | Vincenzo Cutello, Giuseppe Nicosia, Pietro S. Oliveto |