Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Harry Goldingay"'
Autor:
Felipe Campelo, Abraham Itzhak Weinberg, Harry Goldingay, Michael Pritchard, John A.R. Williams, Diego R. Faria
We demonstrate improved performance in the classification of bioelectric data for use in systems such as robotic prosthesis control, by data fusion using low-cost electromyography (EMG) and electroencephalography (EEG) devices. Prosthetic limbs are t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3d1cd40c80e7206f16696404389f3380
https://publications.aston.ac.uk/id/eprint/42368/1/pdf.pdf
https://publications.aston.ac.uk/id/eprint/42368/1/pdf.pdf
Autor:
Jort van Mourik, Harry Goldingay
Publikováno v:
Information Sciences. 222:66-80
Multi-agent algorithms inspired by the division of labour in social insects and by markets, are applied to a constrained problem of distributed task allocation. The efficiency (average number of tasks performed), the flexibility (ability to react to
Publikováno v:
GECCO (Companion)
Real world search problems, characterised by nonlinearity, noise and multidimensionality, are often best solved by hybrid algorithms. Techniques embodying different necessary features are triggered at specific iterations, in response to the current s
Publikováno v:
SASO Workshops
We identify two different forms of diversity present in engineered collective systems, namely heterogeneity (genotypic/phenotypic diversity) and dynamics (temporal diversity). Three qualitatively different case studies are analysed, and it is shown t
Autor:
Peter R. Lewis, Harry Goldingay
Publikováno v:
Parallel Problem Solving from Nature – PPSN XIII ISBN: 9783319107615
PPSN
PPSN
We propose a taxonomy for heterogeneity and dynamics of swarms in PSO, which separates the consideration of homogeneity and heterogeneity from the presence of adaptive and non-adaptive dynamics, both at the particle and swarm level. It thus supports
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f998440b3927f59ac60927f95769a5e5
https://doi.org/10.1007/978-3-319-10762-2_17
https://doi.org/10.1007/978-3-319-10762-2_17
Autor:
Jort van Mourik, Harry Goldingay
Publikováno v:
SASO
When designing a practical swarm robotics system, self-organized task allocation is key to make best use of resources. Current research in this area focuses on task allocation which is either distributed (tasks must be performed at different location
Autor:
Harry Goldingay, Jort van Mourik
Publikováno v:
Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing 2010 ISBN: 9783642132643
A nature inspired decentralised multi-agent algorithm is proposed to solve a problem of distributed task allocation in which cities produce and store batches of different mail types. Agents must collect and process the mail batches, without global kn
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::23a8822925aa72db204ba73776261145
https://doi.org/10.1007/978-3-642-13265-0_7
https://doi.org/10.1007/978-3-642-13265-0_7
Autor:
J. van Mourik, Harry Goldingay
Publikováno v:
SASO
A nature inspired decentralised multi-agent algorithm is proposed to solve a problem of distributed task selection in which cities produce and store batches of different mail types. Agents must collect and process the mail batches, without a priori k
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7a375ccecf7ab5ec8fad6a4d0de6e01f
https://publications.aston.ac.uk/id/eprint/19279/1/SASO.pdf
https://publications.aston.ac.uk/id/eprint/19279/1/SASO.pdf