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Fingerprint Dive into the research topics where George Coghill is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

  • 3 Similar Profiles
Reaction Network Mathematics
Learning systems Engineering & Materials Science
Differential equations Engineering & Materials Science
Robotics Engineering & Materials Science
Dynamical systems Engineering & Materials Science
Identification (control systems) Engineering & Materials Science
Washers Engineering & Materials Science
Robots Engineering & Materials Science

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Research Output 2001 2019

3 Downloads (Pure)

A Hexagonal Cell Automaton Model to Imitate Physarum Polycephalum Competitive Behaviour

Awad, A., Pang, W., Lusseau, D. & Coghill, G. M., Jul 2019, ALIFE 2019: The 2019 Conference on Artificial Life. Fellermann, H., Bacardit, J., Goñi-Moreno, Á. & Füchslin, R. M. (eds.). The MIT Press, p. 203-210 8 p. (Artificial Life Conference Proceedings; vol. 31).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Open Access
File
Cellular automata
Multiobjective optimization
Wireless sensor networks
Brain
Mathematical models

A Physarum-Inspired Competition Algorithm for Solving Discrete Multi-Objective Optimization Problems

Awad, A., Usman, M., Lusseau, D., Coghill, G. M. & Pang, W., 13 Jul 2019, GECCO 2019 Companion - Proceedings of the 2019 Genetic and Evolutionary Computation Conference Companion. López-Ibáñez, M., Auger, A. & Stützle, T. (eds.). New York, USA: ACM, p. 195-196 2 p.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Multiobjective optimization
Cellular automata
Evolutionary algorithms

Inferring Structure and Parameters of Dynamic Systems using Latin Hypercube Sampling Multi Dimensional Uniformity-Particle Swarm Optimization

Usman, M., Awad, A., Pang, W. & Coghill, G. M., 13 Jul 2019, GECCO 2019 Companion - Proceedings of the 2019 Genetic and Evolutionary Computation Conference Companion. López-Ibáñez, M., Auger, A. & Stützle, T. (eds.). New York, USA: ACM, p. 101-102 2 p.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Particle swarm optimization (PSO)
Dynamical systems
Sampling
Time series
Costs
Open Access
File
protected area
naturalness
public spending
mental health
ecological impact

A Conceptual Framework of Starlings Swarm Intelligence Intrusion Prevention for Software Defined Networks

Karatu, M. T., Pang, W. & Coghill, G. M., 2018, ReaLX’18: Reasoning, Learning & Explainability in AI. Martin, K., Wiratunga, N. & Smith, L. S. (eds.). CEUR-WS, Vol. 2151. (CEUR Workshop Proceedings).

Research output: Chapter in Book/Report/Conference proceedingConference contribution