Professor Ben Paechter

Director of Research

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  • Bio-inspired Computing
    The Bio-Inspired Algorithms group within the Centre for Algorithms, Visualisation and Evolving Systems is a large and thriving group with interests in nature-inspired computing that include Evolutionary Computing, Hyper-Heuristics, Artificial Immune Systems and Swarm Intelligence.
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+44 (0)131 455 2764

Room C63
Merchiston Campus
10 Colinton Road
EH10 5DT

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    Recent Projects

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    PhD Project Involvement

    Craig Thomson (PhD 2016-)
    Mobility support in the internet of things.
    Christopher Stone (PhD 2015-)
    Software healing inspired by the immune system.
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    Andreas Steyven (PhD 2013-)
    Exploiting cooperative behaviour to guide open-ended evolution in multi-robot applications. Swarm robotics is a special case within the general field of robotics. The distributed nature makes it more resilient with no single point of failure. Considering the application in remote locations,...
    Paul Lapok (PhD 2015-)
    Growing mechanical systems with bio-inspired computing for mechanical design.
    Lynn Killick (PhD 2013-)
    An investigation into the population census as a tool for building the good society: policy, ethics and social informatics.
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    Recent Publications

    Segredo, E., Paechter, B., Segura, C., Gonzalez-Vila, Carlos I. (2017). On the comparison of initialisation strategies in differential evolution for large scale optimisation. Optimization Letters, , (In press), 1-13.

    Ghaleb, B., Al-Dubai, A., Ekonomou, E., Paechter, B., Qasem, M. (2016, ). Trickle-Plus: Elastic and Enhanced Standarized Trickle Algorithm for Internet of Things. The IEEE Consumer Electronics Magazine, .

    Ghaleb, B., Al-Dubai, A., Ekonomou, E., Paechter, B., Qasem, M. (2016). Trickle-Plus: Elastic Trickle Algorithm for Low- Power Networks and Internet of Things. In: Society, I. (Ed.) 2016 IEEE Wireless Communications and Networking Conference WCNC , IEEE Workshop on Mobile Edge Computing and IoT, Doha, Qatar, , () ( ed.). (pp. ). : . .

    Lalla-Ruiz, E., Segredo, E., Voß, S., Hart, E., Paechter, B. (2016). Analysing the performance of migrating birds optimisation approaches for large scale continuous problems. In: (Ed.) Parallel Problem Solving from Nature -- PPSN XIV: 14th International Conference, Edinburgh, UK, September 17-21, 2016, Proceedings, , () ( ed.). (pp. 134-144). : . Springer International Publishing.

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    Supervised dissertations