Dr Mario Alejandro Hevia Fajardo

Dr Mario Alejandro Hevia Fajardo

School of Computer Science
Research Fellow in Theory of Co-Evolutionary Computation

Contact details

Email
m.heviafajardo@bham.ac.uk
Address
University 麻豆精选
Edgbaston
Birmingham
B15 2TT
UK
Mario is a Research Fellow at the University 麻豆精选 in the School of Computer Science in the group of . Before coming to Birmingham, he obtained a PhD degree at the  under supervision of  and .

His main research interests are in theory of evolutionary computation and randomized search heuristics. Currently he is working on the analysis of competitive co-evolutionary algorithms.

Qualifications

  • PhD Computer Science, University of Sheffield, UK. 2022
    Title: Runtime Analysis of Success-Based Parameter Control Mechanisms for Evolutionary Algorithms on Multimodal Problems
  • MSc Data Analytics, University of Sheffield, 2018
  • BSc Mechatronics Engineering, ITESM, 2014

Research

Theory of evolutionary computation, in particular evolutionary and co-evolutionary algorithms.

  • Analysis of co-evolutionary algorithms in adversarial optimisation.
  • Design and analysis of parameter control mechanisms for bio-inspired optimisation. 

Publications

Recent publications

Article

Hevia Fajardo, MA & Sudholt, D 2024, '', Algorithmica, vol. 86, no. 2, pp. 526鈥�565.

Fajardo, MAH & Sudholt, D 2022, '', ACM Transactions on Evolutionary Learning and Optimization, vol. 2, no. 4, 13.

Chapter

Hevia Fajardo, M, Lehre, PK, Toutouh, J, Hemberg, E & O'Reilly, U-M 2024, . in S Winkler, L Trujillo, C Ofria & T Hu (eds), Genetic Programming Theory and Practice XX. 1 edn, Genetic and Evolutionary Computation, Springer Singapore, pp. 19-44.

Conference contribution

Hevia Fajardo, M & Lehre, PK 2024, . in M Affenzeller, SM Winkler, AV Kononova, H Trautmann, T Tu拧ar, P Machado & T B盲ck (eds), Parallel Problem Solving from Nature 鈥� PPSN XVIII: 18th International Conference, PPSN 2024, Hagenberg, Austria, September 14鈥�18, 2024, Proceedings, Part III. vol. 3, Lecture Notes in Computer Science, vol. 15150, Springer, 18th International Conference on Parallel Problem Solving From Nature PPSN 2024, Hagenberg, Austria, 14/09/24.

Lehre, PK, Fajardo, MH, Toutouh, J, Hemberg, E & O'Reilly, U-M 2023, . in GECCO '23: Proceedings of the Genetic and Evolutionary Computation Conference. GECCO: Genetic and Evolutionary Computation Conference, Association for Computing Machinery (ACM), pp. 1027-1035, GECCO '23: Genetic and Evolutionary Computation Conference, Lisbon, Portugal, 15/07/23.

Hevia Fajardo, M & Lehre, PK 2023, . in GECCO '23: Proceedings of the Genetic and Evolutionary Computation Conference. GECCO: Genetic and Evolutionary Computation Conference, Association for Computing Machinery (ACM), pp. 1593-1601, GECCO '23: Genetic and Evolutionary Computation Conference, Lisbon, Portugal, 15/07/23.

Hevia Fajardo, M, Lehre, PK & Lin, S 2023, . in FOGA '23: Proceedings of the 17th ACM/SIGEVO Conference on Foundations of Genetic Algorithms. FOGA: Foundations of Genetic Algorithms, Association for Computing Machinery (ACM), pp. 73鈥�83, Foundations of Genetic Algorithms XVII, Potsdam, Germany, 30/08/23.

Hevia Fajardo, M, Lehre, PK & Lin, S 2023, . in GECCO '23 Companion: Proceedings of the Companion Conference on Genetic and Evolutionary Computation. GECCO: Genetic and Evolutionary Computation Conference, Association for Computing Machinery (ACM), pp. 819鈥�822, GECCO '23: Genetic and Evolutionary Computation Conference, Lisbon, Portugal, 15/07/23.

Hevia Fajardo, M & Sudholt, D 2022, . in JE Fieldsend (ed.), GECCO '22: Proceedings of the Genetic and Evolutionary Computation Conference. GECCO: Genetic and Evolutionary Computation Conference, Association for Computing Machinery , New York, pp. 796鈥�804, GECCO '22: Genetic and Evolutionary Computation Conference, Boston, Massachusetts, United States, 9/07/22.

Fajardo, MAH & Sudholt, D 2021, . in FOGA '21: Proceedings of the 16th ACM/SIGEVO Conference on Foundations of Genetic Algorithms., 5, FOGA: Foundations of Genetic Algorithms, Association for Computing Machinery (ACM), New York, FOGA '21: Foundations of Genetic Algorithms XVI, 6/09/21.

Fajardo, MAH & Sudholt, D 2021, . in F Chicano (ed.), GECCO '21: Proceedings of the Genetic and Evolutionary Computation Conference. Genetic and Evolutionary Computation Conference (GECCO), Association for Computing Machinery (ACM), New York, pp. 1151鈥�1159, 2021 Genetic and Evolutionary Computation Conference, GECCO 2021, Virtual, Online, France, 10/07/21.

Fajardo, MAH & Sudholt, D 2020, . in Proceedings of the 2020 Genetic and Evolutionary Computation Conference.

Fajardo, MAH 2019, . in Proceedings of the Genetic and Evolutionary Computation Conference.