Dr Michael Epitropakis

Lecturer in Foundations of Data Science

Research Overview

Michael Epitropakis is a Lecturer in Foundations of Data Science at Lancaster University. His research focuses on developing and analyzing novel stochastic search methodologies for solving complex real-life problems, that lie at the interface of Operational Research and Computer Science. These methods are interdisciplinary in character, adopting theory and practical methodologies from various scientific fields such is artificial intelligence, machine learning, and statistics. His work addresses both continuous (i.e. global) and discrete (i.e. combinatorial) problems. He is currently interested in applications of optimization to software engineering and to transportation. He has published more than 30 journal and conference papers. His research has been funded from both private and governmental funding agencies, including IEEE, Microsoft, European Union (ESF) and the Greek state research council.

A hybrid breakout local search and reinforcement learning approach to the vertex separator problem
Benlic, U., Epitropakis, M.G., Burke, E.K. 16/09/2017 In: European Journal of Operational Research. 261, 3, p. 803-818. 16 p.
Journal article

Progressive preference articulation for decision making in multi-objective optimisation problems
Rostami, S., Neri, F., Epitropakis, M. 5/09/2017 In: Integrated Computer-Aided Engineering. 24, 4, p. 315-335. 21 p.
Journal article

Seeking multiple solutions: an updated survey on niching methods and their applications
Li, X., Epitropakis, M.G., Deb, K., Engelbrecht, A. 08/2017 In: IEEE Transactions on Evolutionary Computation. 21, 4, p. 518-538. 21 p.
Journal article

Tutorials at PPSN 2016
Doerr, C., Bredeche, N., Alba, E., Bartz-Beielstein, T., Brockhoff, D., Doerr, B., Eiben, G., Epitropakis, M.G., Fonseca, C.M., Guerreiro, A., Haasdijk, E., Heinerman, J., Hubert, J., Lehre, P.K., Malagò, L., Merelo, J.J., Miller, J., Naujoks, B., Oliveto, P., Picek, S., Pillay, N., Preuss, M., Ryser-Welch, P., Squillero, G., Stork, J., Sudholt, D., Tonda, A., Whitley, D., Zaefferer, M. 17/09/2016 In: Parallel Problem Solving from Nature – PPSN XIV. Springer p. 1012-1022. 11 p. ISBN: 9783319458229. Electronic ISBN: 9783319458236.
Conference contribution

Empirical evaluation of Pareto efficient multi-objective regression test case prioritisation
Epitropakis, M.G., Yoo, S., Harman, M., Burke, E.K. 13/07/2015 In: ISSTA 2015 Proceedings of the 2015 International Symposium on Software Testing and Analysis. New York : ACM p. 234-245. 12 p. Electronic ISBN: 9781450336208.
Conference contribution

STOR-i Centre for Doctoral Training

  • Centre for Transportation Systems & Logistics (CENTRAL)
  • Optimisation
  • STOR-i Centre for Doctoral Training
  • Transport and Logistics


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