Pietro S. Oliveto

Senior Lecturer
EPSRC Early Career Fellow

• Department of Computer Science,
• The University of Sheffield,
• Regent Court,
• Portobello
• Sheffield S1 4DP, UK.

• Phone: +44 114 222 1812
• Email: P.Oliveto@sheffield.ac.uk

(Last update: 29 October 2019)

Current Occupation

I am a Senior Lecturer and an EPSRC Early Career Fellow at The University of Sheffield in the Department of Computer Science.

My main research interests are in bio-inspired computation, randomised search heuristics and randomised algorithms in general, with strong emphasis on runtime analysis and computational complexity.

Team Members

I lead the Rigorous Research team based in the Algorithms group of the Department Computer Science.


• • Dogan Corus (Research Associate).
• • Andrei Lissovoi (Research Associate).
• • George Hall (PhD Student).
• • John Alasdair Warwicker (Research Assistant).
• • Donya Yazdani (PhD Student).

Former PhD Students

• • John Alasdair Warwicker (Completed in May 2019).

Former Team Members

• • Andrea Mambrini (Research Associate).

Vacancies

A Fully funded PhD studentship in time complexity analysis of bio-inspired computation is available now. Enquiries by enthusiastic candidates can be sent to me by email. Applications will be accepted until the posts are filled. Further details are here. Applicants should apply using the online application form here (New)

News & Forthcoming Events

• • I will be teaching "Theory of Bio-Inspired Computing'' at the 2019 ImAppNIO Cost Action Training School on Nature-Inspired Search and Optimisation Heuristics , taking place in Coimbra, Portugal from the 25th to the 29th of November 2019.
• • On October 22nd 2019 I gave an invited talk entitled "What's Hot in EA-Theory - Part II'' at the 2019 Dagstuhl Seminar on Theory of Randomized Optimisation Heuristics , Schloss Dagstuhl, Germany (Part I was given on October 21st by Carsten Witt).
• • On September 18th 2019 I gave a Keynote Seminar entitled "How Theoretical Analyses Can Impact Practical Applications of Evolutionary Computation'' at the 11th International Joint Conference on Computional Intelligence (IJCCI 2019) in Vienna, Austria.
• • On Wednesday 10th July 2019 I gave a Keynote Seminar entitled "How Theoretical Analyses Can Impact Practical Applications of Evolutionary Computation'' at the 25th International Conference on Soft Computing (MENDEL 2019) in Brno, Czech Republic.
• • On June 19th 2019 I gave an invited talk entitled "Sexual Reproduction Can Speed Up Optimisation'' and on June 20th one entitled "A Gentle Introduction to the Time Complexity Analysis of Evolutionary Algorithms'' at the Optimisation and Logistics Group's Seminar Series of the University of Adelaide, Australia.
• • On Thursday 28th February 2019 I gave an invited talk entitled "Sexual Reproduction Can Speed Up Optimisation'' at the Algorithms and Complexity Theory Seminar Series of the University of Oxford.
• • I will be giving tutorials on the runtime analysis of Evolutionary Algorithms at CEC 2019 in Wellington, New Zealand on June 10th 2019 and at GECCO 2019 (with P.K. Lehre) on July 13th 2019 in Prague, Czech Republic.
• The Black-Box Discrete Optimization Benchmarking (BB-DOB@GECCO) Workshop organised as part of the Cost Action CA15140: ImAppNIO will be held during GECCO 2019 in Prague, Czech Republic on July 13, 2019. The workshop is organised together with Carola Doerr, Thomas Weise, Borys Wrobel and Ales Zamuda. Extended and FINAL submission deadline: 10 April 2019.
  • Cost Action ImAppNIO Working Group meetings on Benchmarking took place in Coimbra, Portugal on September 6th 2018 and in Malaga on February 18-19 2019. Please drop me an email if you would like to participate to future ImAppNIO events.
• • I am co-Chairing the 2019 Foundations of Computational Intelligence (IEEE FOCI 2019) Symposium as part of the 2019 Sysmposium Series on Computational Intelligence (IEEE SSCI 2019) held on December 6-9, 2019, Xiamen, China (Organised together with Leonardo Franco and Manuel Ojeda-Aciego).
• • I am Chair of the IEEE CIS Technical Committee on Evolutionary Computation (ECTC). If you would like to start a Task Force on an emerging research area or if you believe your topic does not have sufficient visibility at IEEE events please contact me.
• • I am member of the IEEE CIS Nominations Committee, of the IEEE CIS Technical Activities Committee and of the IEEE CIS Intelligent System Applications Technical Committee .
• • I am a member of the EPSRC Peer Review College and of the Carnegie Trust Research Assessors for the Universities of Scotland.
• • A Special Issue of the IEEE Transactions on Evolutionary Computation journal on ''Theoretical Foundations of Evolutionary Computation'' has been approved (co-editors: P.S. Oliveto, Anne Auger, Francisco Chicano, Carlos Fonseca). (Download Call For Papers) The Submission process is open: Submitted papers are handled immediately. Extended Deadline (final): 1 November 2018.
• • Our COST Action CA15140: Improving Applicability of Nature-Inspired Optimisation by Joining Theory and Practice (ImAppNIO) has been approved.
• • I am guest editing together with Andrew Sutton a Special Issue of the Theoretical Computer Science journal (Elsevier) on the theory of Bio-inspired computation.

Recent News & Events

• • Benchmarking Workshops: The Black-Box Discrete Optimization Benchmarking (BB-DOB@GECCO) Workshop organised as part of the Cost Action CA15140: ImAppNIO was held during GECCO 2018 in Kyoto, Japan on July 16, 2018. The Black-Box Discrete Optimization Benchmarking (BB-DOB@PPSN) Workshop was held during PPSN XV in Coimbra, Portugal 8-12 September, 2018. (Both workshops were organised together with Markus Wagner, Thomas Weise, Borys Wrobel and Ales Zamuda - Please drop me an email for information on how to get involved even further).
  • A Cost Action ImAppNIO Working Group meeting on Benchmarking took place in Coimbra, Portugal on September 6th 2018. Please drop me an email if you would like to participate to future ImAppNIO events.
• • On Thursday 9th November 2017 I gave a talk entitled "Sexual Reproduction Can Speed Up Optimisation'' at the University of Exeter.
• • Our paper on how Hyper-heuristics Can Achieve Optimal Performance for Pseudo-Boolean Optimisation by A. Lissovoi, P.S. Oliveto and J.A. Warwicker is now available on Arxiv. The work is considerably extended compared to our GECCO 2017 paper. In particular, it contains proof that increasing the size of the set of low-level heuristics leads to improved runtimes of Random Gradient hyper-heuristics for the LeadingOnes benchmark function.
• • I co-Chaired the 2017 Foundations of Computational Intelligence (IEEE FOCI 2017) Symposium as part of the 2017 Sysmposium Series on Computational Intelligence (IEEE SSCI 2017) held on November 27 - December 1, 2017, Honolulu, Hawaii, USA (Organised together with Leonardo Franco and Manuel Ojeda-Aciego).
  • FOCI 2017 Keynote talk: ''Parameterised analysis of bio-inspired computing" by Prof. Frank Neumann, University of Adelaide.
• • I have Co-Chaired the 2016 Foundations of Computational Intelligence (IEEE FOCI 2016) Symposium
  • as part of the 2016 Sysmposium Series on Computational Intelligence (IEEE SSCI 2015) held on December 6 - 9, 2016, Athens, Greece (Organised together with Leonardo Franco and Manuel Ojeda-Aciego).
  • FOCI 2016 Special Sessions: "Emerging Techniques in Computational Intelligence'' (organised by S. Aggarwal) and "Unconventional Computing: From concepts to Prototypes'' (organised A. Adamatzky and G. Sirakoulis)
  • FOCI 2016 Keynote: Friday Dec 9th, From Complexity Theory to Better Algorithms by Prof. Benjamin Doerr.
• • 9th Workshop on Theory of Randomised Search Heuristics (ThRaSH 2015)
  • 11-12 September 2015 in Sheffield, UK. (Organising Committee )
• • I have guest edited (together with A. Sutton) of a Special Issue of the Evolutionary Computation Journal (ECJ) entitled Theory of Evolutionary Algorithms 2014 .
• • 7th Workshop on Theory of Randomised Search Heuristics (ThRaSH 2013)
  • 13-14 September 2013 in Aberystwyth, Wales. (Organising Committee )
• • I've given Runtime Analysis tutorials at SSCI 2018, GECCO 2018 (with P. K. Lehre), WCCI 2018, PPSN 2018 (time and space complexity of Genetic Programming with A. Lissovoi) CEC 2017 in Donostia - San Sebastian, Spain, at GECCO 2017 (with P. K. Lehre) in July in Berlin, Germany, at PPSN 2016 (with P. K. Lehre) in Edinburgh, UK, at GECCO 2016, Colorado, USA, GECCO 2015 (with P. K. Lehre), Madrid, Spain, (11 July 2015), at WCCI 2014, Beijing, china, (6 July 2014), at GECCO 2014, Vancouver, Canada, (13 July 2014), at CEC 2013, 20 June 2013, Cancun, Mexico (4 hour tutorial) , at GECCO 2013 (with P. K. Lehre), 6 July 2013, Amsterdam, The Netherlands (2 hour tutorial) and at IEEE WCCI 2012 (Download Slides), 10 June 2012, Brisbane, Australia (4 hour tutorial) .
• • Theoretical Foundations of Bio-inspired Computation (Founding Chair: 2012 - 2017)
  • IEEE CIS Task Force (Link)

Book Chapters

 
• • A. Lissovoi, P.S. Oliveto.
  • Computational Complexity Analysis of Genetic Programming.
  • Theory of Randomized Search Heuristics in Discrete Search Spaces.
  • Benjamin Doerr, Frank Neumann editors, Springer, (To appear) (Arxiv Version).
• • P.K. Lehre, P.S. Oliveto.
  • Theoretical Analysis of Stochastic Search Algorithms.
  • In Handbook of Heuristics.
  • Mauricio G.C. Resende, Rafael Marti and Panos M. Pardalos editors, Springer, 2018.
  • DOI: 10.1007/978-3-319-07153-4_35-1.
• • P.S. Oliveto, X. Yao.
  • Runtime Analysis of Evolutionary Algorithms for Discrete Optimization.
  • In Theory of Randomized Search Heuristics~Foundations and Recent Developments, pp. 21-52.
  • B. Doerr and A. Auger editors, World Scientific, February 2011. (World Scientific)
• • A. Athanasiou, M. De Felice, G. Oliveto, P. S. Oliveto.
  • Dynamical Modeling and Parameter Identification of Seismic Isolation Systems by Evolution Strategies.
  • In Computational Intelligence, Studies in Computational Intelligence series N.465, pp. 101-118.
  • K. Madani, A. Dourado, A. Rosa, J. Felipe (Eds), Springer-Verlag, 2013.

Refereed Journal Papers

• • A. Lissovoi, P. S. Oliveto, J. A. Warwicker
  • Simple Hyper-heuristics Control the Neighbourhood Size of Randomised Local Search Optimally for Leading ones. [Posted Online May 23, 2019]
  • Evolutionary Computation (ECJ),
  • 2019.
• • A. Lissovoi, P. S. Oliveto
  • On the Time and Space Complexity of Genetic Programming for Evolving Boolean Conjunctions [Download] .
  • Journal of Artificial Intelligence Research (JAIR),
  • 2019.
• • D. Corus, P. S. Oliveto, D. Yazdani
  • Artificial Immune Systems Can Find Arbitrarily Good Approximations for the NP-Hard Number Partitioning Problem.
  • Artificial Intelligence,
  • 2019.
  • DOI: 10.1016/j.artint.2019.03.001
• • D. Corus, P. S. Oliveto, D. Yazdani
  • When Hypermutations and Ageing Enable Artificial Immune Systems to Outperform Evolutionary Algorithms.
  • Theoretical Computer Science,
  • 2019.
  • DOI: 10.1016/j.tcs.2019.03.002
• • P. S. Oliveto, D. Sudholt, C. Zarges
  • On the Benefits and Risks of Using Fitness Sharing for Multimodal Optimisation. [Download]
  • Theoretical Computer Science,
  • 2018.
• • S. Nallaperuma, P. S. Oliveto, J. Pérez Heredia, D. Sudholt.
  • On the Analysis of Trajectory-Based Search Algorithms: When is it Beneficial to Reject Improvements? [Download]
  • Algorithmica,
  • Vol 81 (2) 858-885, 2019.
• • P. S. Oliveto, T. Paixão, J. Pérez Heredia, D. Sudholt, B. Trubenová.
  • How to Escape Local Optima in Black Box Optimisation: When Non-Elitism Outperforms Elitism. [Download]
  • Algorithmica,
  • Vol 80 (5), 1604-1633, 2018.
• • D.Corus, P. S. Oliveto.
  • Standard Steady State Genetic Algorithms can Hillclimb Faster than Mutation-only Evolutionary Algorithms. (In press) [Download]
  • IEEE Transactions on Evolutionary Computation,
  • Vol. 22 (5), 720-732, 2018.
• • D.-C. Dang, T. Friedrich, T. Kötzing, M. S. Krejca, P. K. Lehre, P. S. Oliveto, D. Sudholt, A. M. Sutton.
  • Escaping Local Optima Using Crossover with Emergent Diversity. (In press) [Download]
  • IEEE Transactions on Evolutionary Computation,
  • Vol. 22 (3), 484-497, 2018.
• • D. Corus, J. He, T. Jansen, P. S. Oliveto, D. Sudholt, C. Zarges.
  • On Easiest Functions for Mutation Operators in Bio-Inspired Optimisation. [Download]
  • Algorithmica,
  • Vol. 78 (2), 714-740, 2017.
  • DOI: 10.1007/s00453-016-0201-4
• • P.S.Oliveto, C.Witt.
  • Improved Time Complexity Analysis of the Simple Genetic Algorithm.
  • Theoretical Computer Science, (Elsevier)
  • Vol. 605, 21-41, 2015.
  • DOI: 10.1016/j.tcs.2015.01.002
• • P.S.Oliveto, C.Zarges.
  • Analysis of Diversity Mechanisms for Optimisation in Dynamic Environments with Low Frequencies of Change.
  • Theoretical Computer Science (Elsevier),
  • Vol. 561, 37-56, 2015.
  • DOI: 10.1016/j.tcs.2014.10.028
• • P.S.Oliveto, C.Witt.
  • On the Runtime Analysis of the Simple Genetic Algorithm.
  • Theoretical Computer Science (Elsevier),
  • Vol. 545, 2-19, 2014.
  • DOI: 10.1016/j.tcs.2013.06.015
• • P.S.Oliveto, C.Witt.
  • Simplified Drift Analysis for Proving Lower Bounds in Evolutionary Computation.
  • Algorithmica (Springer),
  • Vol. 59 (3), 369-386, 2011.
• • T.Friedrich, P.S.Oliveto, D.Sudholt, C.Witt.
  • Analysis of Diversity-Preserving Mechanisms for Global Exploration.
  • Evolutionary Computation, (ECJ),
  • Vol. 17 (4), 455-476, 2009.
• • P.S.Oliveto, J.He, X.Yao.
  • Analysis of the (1+1)-EA for Finding Approximate Solutions to Vertex Cover Problems.
  • IEEE Transactions on Evolutionary Computation (IEEE TEVC),
  • Vol. 13 (5), 1006-1029, 2009.
• • P.S.Oliveto, J.He, X.Yao.
  • Time Complexity of Evolutionary Algorithms for Combinatorial Optimization: A Decade of Results.
  • International Journal of Automation and Computing (IJAC)
  • Vol. 4 (3), 281-293, 2007.

Recent Refereed Conference Publications

• • D. Corus, P. S. Oliveto, D. Yazdani
  • On Inversely Proportional Hypermutations with Mutation Potential.
  • In Proceedings of the 2019 Genetic and Evolutionary Computation Conference (GECCO '19)
  • Prague, Czech Republic, July 2019.
• • B.Doerr, A. Lissovoi, P. S. Oliveto
  • Evolving Boolean Functions with Conjunctions and Disjunctions via Genetic Programming.
  • In Proceedings of the 2019 Genetic and Evolutionary Computation Conference (GECCO '19)
  • Prague, Czech Republic, July 2019.
• • D. Corus, P. S. Oliveto
  • On the Benefits of Populations on the Exploitation Speed of Standard Steady-State Genetic Algorithms.
  • In Proceedings of the 2019 Genetic and Evolutionary Computation Conference (GECCO '19)
  • Prague, Czech Republic, July 2019.
• • G. Hall, P. S. Oliveto, D. Sudholt
  • On the Impact of the Cutoff Time on the Performance of Algorithm Configurators.
  • In Proceedings of the 2019 Genetic and Evolutionary Computation Conference (GECCO '19)
  • Prague, Czech Republic, July 2019.
• • A. Lissovoi, P. S. Oliveto, J. A. Warwicker
  • On the Time Complexity of Algorithm Selection Hyper-Heuristics for Multimodal Optimisation. [Download]
  • In Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence ( AAAI-19),
  • Honolulu, Hawaii, USA, January 27 - February 1, 2019.
• • D. Corus, P. S. Oliveto, D. Yazdani
  • Fast Artificial Immune Systems. [Download Arxiv Version]
  • In Proceedings of the 15th conference on Parallel Problem Solving from Nature ( PPSN XV),
  • Coimbra, Portugal, September 8-12, 2018.
• • D. Corus, P. S. Oliveto, D. Yazdani
  • Artificial Immune Systems Can Find Arbitrarily Good Approximations for the NP-Hard Partition Problem. [Download Arxiv Version]
  • In Proceedings of the 15th conference on Parallel Problem Solving from Nature ( PPSN XV),
  • Coimbra, Portugal, September 8-12, 2018.
• • B. Doerr, A. Lissovoi, P. S. Oliveto, J.A. Warwicker
  • On the Runtime Analysis of Selection Hyper-Heuristics with Adaptive Learning Periods. [Download]
  • In Proceedings of the 2018 Genetic and Evolutionary Computation Conference (GECCO '18)
  • Kyoto, Japan, July 15-19, 2018.
• • A. Lissovoi, P. S. Oliveto
  • On the Time and Space Complexity of Genetic Programming for Evolving Boolean Conjunctions. [Download]
  • In Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence (AAAI-18),
  • New Orleans, Louisiana, US February 2-7, 2018.
• • A. Lissovoi, P. S. Oliveto, J.A. Warwicker
  • On the Runtime Analysis of Generalised Selection Hyper-heuristics for Pseudo-Boolean Optimisation. [Download]
  • In Proceedings of the 2017 Genetic and Evolutionary Computation Conference (GECCO '17)
  • Berlin, Germany, July 15-19, 2017.
• • D. Corus, P. S. Oliveto, D. Yazdani
  • On the Runtime Analysis of the Opt-IA Artificial Immune System. [Download]
  • In Proceedings of the 2017 Genetic and Evolutionary Computation Conference (GECCO '17),
  • Berlin, Germany, July 15-19, 2017.
• • S. Nallaperuma, P. S. Oliveto, J. Perez Heredia, D. Sudholt
  • When is it Beneficial to Reject Improvements? [Download]
  • In Proceedings of the 2017 Genetic and Evolutionary Computation Conference (GECCO '17),
  • Berlin, Germany, July 15-19, 2017.
• • D.-C. Dang, T. Friedrich, T. Kötzing, M. S. Krejca, P. K. Lehre, P. S. Oliveto, D. Sudholt, A. M. Sutton
  • Emergence of Diversity and its Benefits for Crossover in Genetic Algorithms. [Download]
  • In Proceedings of the 14th Parallel Problem solving from Nature Conference (PPSN 2016),
  • Edinburgh, Scotland, September 17-21, 2016. (Best paper nomination)
• • D.-C. Dang, T. Friedrich, T. Kötzing, M. S. Krejca, P. K. Lehre, P. S. Oliveto, D. Sudholt, A. M. Sutton
  • Escaping Local Optima with Diversity Mechanisms and Crossover. [Download]
  • In Proceedings of the 2016 Genetic and Evolutionary Computation Conference (GECCO '16),
  • Colorado, USA, July 20-24, 2016.
• • P. S. Oliveto, T. Paixão, J. Pérez Heredia, D. Sudholt, B. Trubenová
  • When Non-Elitism Outperforms Elitism for Crossing Fitness Valleys. [Download]
  • In Proceedings of the 2016 Genetic and Evolutionary Computation Conference (GECCO '16),
  • Colorado, USA, July 20-24, 2016.
• • A. Mambrini, P.S. Oliveto
  • On the Analysis of Simple Genetic Programming for Evolving Boolean Functions. [Download]
  • In Proceedings of the 2016 European Conference on Genetic Programming, (EuroGP '16), pp. 99-114,
  • Porto, Portugal, March 30-April 1, 2016.(Best paper nomination)
• • D. Corus, J. He, T. Jansen, P.S.Oliveto, D. Sudholt, C.Zarges
  • On Easiest Functions for Somatic Contiguous Hypermutations And Standard Bit Mutations.
  • In Proceedings of the 2015 Genetic and Evolutionary Computation Conference (GECCO '15),
  • Madrid, Spain, July 11-15, 2015.
• • P.S.Oliveto, D. Sudholt, C.Zarges
  • On the Runtime Analysis of Fitness Sharing Mechanisms.
  • In Proceedings of the 13th Parallel Problem solving from Nature Conference (PPSN 2014),
  • Ljubljana, Slovenia, September 13-17, 2014.
• • P.S.Oliveto, D. Sudholt.
  • On the Runtime Analysis of Stochastic Ageing Mechanisms.
  • In Proceedings of the 2014 Genetic and Evolutionary Computation Conference (GECCO '14),
  • Vancouver, Canada, July 12-16, 2014. (Best paper award)
• • P.S.Oliveto, C. Zarges.
  • Analysis of Diversity Mechanisms for Robust Optimisation in Dynamic Environments with Low Frequencies of Change.
  • In Proceedings of the 2013 Genetic and Evolutionary Computation Conference (GECCO'13),
  • Amsterdam, the Netherlands, July 6-10, 2013.
• • P.S.Oliveto, C. Witt.
  • Improved Runtime Analysis of the Simple Genetic Algorithm.
  • In Proceedings of the 2013 Genetic and Evolutionary Computation Conference (GECCO'13),
  • Amsterdam, the Netherlands, July 6-10, 2013.
• • T. Jansen, P.S.Oliveto, C. Zarges.
  • Approximating Vertex Cover Using Edge-Based Representations.
  • In Proceedings of Foundations of Genetic Algorithms XII (FOGA'13),
  • Adelaide, Australia, January 16-20, 2013.
• • P.S.Oliveto, C. Witt.
  • On the Runtime Analysis of the Simple Genetic Algorithm.
  • In Proceedings of the 2012 Genetic and Evolutionary Computation Conference (GECCO'12),
  • Philadelphia, USA, July 7-11, 2012.
• • A. Athanasiou, M. De Felice, G. Oliveto, P. S. Oliveto
  • Evolutionary Algorithms for the Identification of Structural Systems in Earthquake Engineering.
  • In Proceedings of the International Conference on Evolutionary Computation Theory and Applications (ECTA'11),
  • Paris, france, October 24-26, 2011.(Best paper nomination)
• • T. Jansen, P. S. Oliveto, C. Zarges
  • On the Analysis of the Immune Inspired B-Cell Algorithm for the Vertex Cover Problem.
  • In Proceedings of the 10th International Conference on Artificial Immune Systems (ICARIS'11),
  • Cambridge, UK, July 18-21, 2011. (Best paper award)
• • F. Neumann, P. S. Oliveto, G. Rudolph, D. Sudholt
  • On the Effectiveness of Crossover for Migration in Parallel Evolutionary Algorithms.
  • In Proceedings of the 2011 Genetic and Evolutionary Computation Conference (GECCO'11),
  • Dublin, Ireland, July 12-16, 2011.
• • S. Kratsch, P.K. Lehre, F. Neumann, P.S. Oliveto
  • Fixed Parameter Evolutionary Algorithms and Maximum Leaf Spanning Trees: A Matter of Mutation.
  • In Proceedings of the 11th Conference on Parallel Problem Solving from Nature (PPSN'10),
  • Krakow, Poland, September 11-15, 2010.
• • T. Kötzing, P. K. Lehre, F. Neumann, P. S. Oliveto.
  • Ant colony optimization and the minimum cut problem.
  • In Proceedings of the 2010 Genetic and Evolutionary Computation Conference (GECCO'10),
  • Portland, Oregon, July 7-11, 2010.
• • A. Chandra, P. S. Oliveto, X. Yao.
  • Co-evolution of Optimal Agents for the Alternating Offers Bargaining Game.
  • In Proceedings of the European Conference on the Applications of Evolutionary Computation (EvoApplications 2010),
  • Istanbul Technical University, Istanbul, Turkey, April 7-9, 2010.
• • F.Neumann, P.S.Oliveto, C. Witt.
  • Theoretical Analysis of Fitness-Proportional Selection - Landscapes and Efficiency.
  • In Proceedings of the 2009 Genetic and Evolutionary Computation Conference (GECCO'09),
  • Montreal, Canada, July 8-12, 2009.
• • P.S.Oliveto, P.K.Lehre, F.Neumann.
  • Theoretical Analysis of Rank-based Mutation - Combining Exploration and Exploitation.
  • In Proceedings of the IEEE Congress on Evolutionary Computation 2009(CEC'09),
  • Trondheim, Norway, May 18-21, 2009. (Best student paper nomination)
• • P.S.Oliveto, C.Witt.
  • Simplified Drift Analysis for Proving Lower Bounds in Evolutionary Computation.
  • In Proceedings of the Parallel Problem Solving from Nature (PPSN'08),
  • Dortmund, Germany, September 13-17, 2008.
• • T. Friedrich, P.S.Oliveto, D.Sudholt, C.Witt.
  • Theoretical Analysis of Diversity Mechanisms for Global Exploration.
  • In Proceedings of the Genetic and Evolutionary Computation Conference (GECCO'08),
  • Atlanta, Georgia, USA, July 12-16, 2008. (Best paper award)
• • P.S.Oliveto, J.He, X.Yao.
  • Analysis of Population-based Evolutionary Algorithms for the Vertex Cover Problem.
  • In Proceedings of the IEEE World Congress on Computational Intelligence (WCCI'08),
  • Hong Kong, June 1-6, 2008. Pictures
• • P.S.Oliveto, J.He, X.Yao.
  • Evolutionary Algorithms and the Vertex Cover Problem .
  • In Proceedings of the IEEE Congress on Evolutionary Computation (CEC'07),
  • Singapore, September 25-28, 2007. Pictures

• • Co-Chair of the 2017 Foundations of Computational Intelligence (IEEE FOCI 2017) Symposium
  • November 27 - December 1, 2017, Honolulu, Hawaii, USA.
• • Co-Chair of the 2016 Foundations of Computational Intelligence (IEEE FOCI 2016) Symposium
  • December 6 - 9, 2016, Athens, Greece.
• • Co-Chair of the 2015 IEEE Symposium on Foundations of Computational Intelligence (IEEE FOCI 2015)
  • December 7 - 10, 2015, Capetown, South Africa.

• Co-Chair of the IEEE WCCI 2016 Special Session on "Theoretical Foundations of Bio-inspired Computation"

• Co-Chair of the IEEE CEC 2015 Special Session on "Theoretical Foundations of Bio-inspired Computation"

• Co-Chair of the IEEE WCCI 2014 Special Session on "Theoretical Foundations of Bio-inspired Computation"

• Co-Chair of the IEEE CEC 2013 Special Session on "Theoretical Foundations of Bio-inspired Computation"

Programme Committees

• 33rd AAAI Conference on Artificial Intelligence (AAAI'19).
• 24th International Joint Conference on Artificial Intelligence ( IJCAI'15).
• Genetic and Evolutionary Computation Conference (GECCO'08 ,GECCO'09, GECCO'10, GECCO'11, GECCO'12, GECCO'13, GECCO'14, GECCO'15, GECCO'16, GECCO'17, GECCO'18 ).
• IEEE Congress on Evolutionary Computation (CEC'07,WCCI'08,CEC'09,WCCI'10, CEC'11, CEC'13, WCCI'12)
• Foundations Of Genetic Algorithms (FOGA'09,FOGA'13, FOGA'15, FOGA'17, FOGA'19).
• International Conference in Parallel Problem Solving from Nature (PPSN-X,PPSN-XI, PPSN-XIII, PPSN-XIV, PPSN XV)
• IEEE Symposium on Foundations Of Computational Intelligence (First:FOCI'07,Second:FOCI'11,Third:FOCI'13, FOCI'14)
• Theory of Evolutionary Algorithms seminar, Schloss Dagstuhl, Germany, 27 January - 1 February, 2008. (Proceedings Collector)
• Workshop Italiano di Vita Artificiale e Computazione Evolutiva (WIVACE'07,WIVACE'08) (Italian Workshop of artificial life and evolutionary computation).
• 8th European Conference on Evolutionary Computation in Combinatorial Optimisation ( EVOCOP'08) (Reviewer).
• 10th International Conference on Artificial Immune Systems ( ICARIS'11).
• International Joint Conference on Computational Intelligence ( IJCCI'10, IJCCI'11).
• International Workshop on Nature Inspired Cooperative Strategies for Optimization (NICSO'07).

Organising Committees

• • 9th Workshop on Theory of Randomised Search Heuristics (ThRaSH 2015).
  • 11-12 September 2015, Sheffield, UK.
• • 7th Workshop on Theory of Randomised Search Heuristics (ThRaSH 2013).
  • 13-14 September 2013, Aberystwyth, Wales.
• • 27^th British Colloquium for Theoretical Computer Science (BCTCS'11)
  • 18-21 April 2011, Birmingham, UK.
• • Minisymposium on "Randomized Search Heuristics: Theoretical Aspects and Real World Applications" (Flyer)
  • at SIAM Conference on Optimization (SiamOPT11) 16-19 May 2011, Darmstadt, Germany.
• • 3rd Workshop on Theory of Randomised Search Heuristics (TRSH09).
  • 19-20 October 2009, Birmingham, UK.

Journal editing and reviewing

• Associate Editor of the IEEE Transactions on Evolutionary Computation (IEEE TEVC) journal.
• Guest Co-Editor of Journal of Computer Science and Technology (Springer), Special Issue on ''Evolutionary Computation''.
• Guest Co-Editor of the Evolutionary Computation Journal (ECJ-Mit Press), Special Issue on ''Theory of Evolutionary Computation 2014''.

• BMC Evolutionary Biology (Springer Nature).
• Nature Communications (Springer Nature).
• Theoretical Computer Science (Elsevier).
• Journal of Genetic Programming and Evolvable Machines (Springer).
• Algorithmica (Springer).
• IEEE Transactions on Neural Networks (IEEE-TNN).
• IEEE Transactions on Cybernetics
• Evolutionary Computation (MITpress).
• Information Sciences (Elsevier).
• IEEE Transactions on Evolutionary Computation (IEEE-TEVC).
• International Journal of Metaheuristics (Inderscience).
• Artificial Intelligence (Elsevier).
• Engineering Applications of Artificial Intelligence (Elsevier).
• Journal of Computer Science and Technology
• Natural Computing (Springer).
• Information Processing Letters (Elsevier).
• Soft Computing (Springer).
• Applied Mathematics and Computation (Elsevier).

Grants & Fellowships

• COST Action CA15140: Improving Applicability of Nature-Inspired Optimisation by Joining Theory and Practice (ImAppNIO)
• EPSRC Early Career Fellowship (2015-2020) Rigorous Runtime Analysis of Bio-inspired Computing ( EP/M004252/1 )
• Vice Chancellor Fellowship, University of Sheffield (2013-2016).
• EPSRC Postdoctoral Fellowship in Theoretical Computer Science grant (2010-2013), "Rigorous Runtime Analysis of Nature Inspired Meta-heuristics" ( EP/H028900/1 )
• EPSRC PhD+ Postdoctoral Fellowship grant (2009). ( EP/P502322/1)
• IEEE student travel grant for the CEC'09 conference attendance.
• IEEE student travel grant for the FOCI'07 conference attendance.

Workshops & Summer Schools

• Fifth Workshop on the Theory of Randomized Search Heuristics (ThRaSH'2011), Copenhagen, Denmark, 8-9 July 2011.
• Minisymposium on "Randomized Search Heuristics: Theoretical Aspects and Real World Applications" at SIAM Conference on Optimization (SiamOPT11) 16-19 May 2011, Darmstadt, Germany.
• 2011 Artificial Immune Systems seminar, Schloss Dagstuhl, Germany, 25 April - 29 April, 2011.
• 27th British Colloquium for Theoretical Computer Science (BCTCS2011), Birmingham, UK, 18-21 April 2011.
• 2010 Theory of Evolutionary Algorithms seminar, Schloss Dagstuhl, Germany,5 September - 10 September, 2010.
• Fourth Workshop on the Theory of Randomized Search Heuristics (ThRaSH'2010), Paris, France, 24-25 March 2010.
• Third Workshop on the Theory of Randomized Search Heuristics (TRSH3), Birmingham, UK, 19-20 October 2009.
• MOMiNE 2009 International Summer School (MOMINE'09), Cetraro, Cosenza, Italy, 1-11 September, 2009.
  (Tutorial on runtime analysis of EAs)
• Second Workshop on the Theory of Randomized Search Heuristics (TRSH2), Dortmund, Germany 13 September 2008.
• 2008 Theory of Evolutionary Algorithms seminar, Schloss Dagstuhl, Germany, 27 January - 1 February, 2008.
• First Workshop on the Theory of Randomized Search Heuristics (TRSH), Wroclaw, Poland 14-15 July 2007. Pictures
• Workshop on local Search, University Of Birmingham, Birmingham, Uk, July 2006.

Visiting Research

• Department of Algorithms and Logic (algolog) at Technical University of Denmark (DTU), Lyngby, Denmark, 24 June - 10 July 2011.
• Department of Civil and Environmental Engineering (DICA) at University of Catania(UNICT), Catania, Italy 2-10 May 2011.
• Department of Algorithms and Complexity (D1) at Max-Planck-Institut Fuer Informatik (MPI), Saarbruecken, Germany, 15-25 November 2010.
• At&t Research Labs (At&t), Florham Park, NJ,USA, May 2010 -- July 2010.
• Department of Algorithms and Logic (algolog) at Technical University of Denmark (DTU), Lyngby, Denmark, February 2010.
• Department of Algorithms and Complexity (D1) at Max-Planck-Institut Fuer Informatik (MPI), Saarbruecken, Germany, November 2009.
• Efficient Algorithms and Complexity Theory Institute (Lehrstuhl Informatik 2) at the Department of Computer Science (Facultaet Informatik) of the University of Dortmund (Techinsche Universitaet Dortmund) October 2007 - April 2008.