Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Jonathan Mwaura"'
Publikováno v:
Algorithms, Vol 14, Iss 2, p 36 (2021)
Multimodal problems are single objective optimisation problems with multiple local and global optima. The objective of multimodal optimisation is to locate all or most of the optima. Niching algorithms are the techniques utilised to locate these opti
Externí odkaz:
https://doaj.org/article/35e377cc6cfc4e19997de1bd5579bc60
Publikováno v:
Proceedings of the 2nd International Conference on Intelligent and Innovative Computing Applications.
Clustering is one of the most important tasks in exploratory data analysis [1, 55, 59]. K-means are the most popular clustering algorithms [51, 61]. This is because of their ability to adapt to new examples and to scale up to large datasets. They are
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7dc78fdd0dd8f686ea2e374cfd6aa701
https://doi.org/10.1145/3415088.3415125
https://doi.org/10.1145/3415088.3415125
Autor:
Jonathan Mwaura, Edward Keedwell
Publikováno v:
Genetic Programming and Evolvable Machines. 16:95-131
Many approaches to AI in robotics use a multi-layered approach to determine levels of behaviour from basic operations to goal-directed behaviour, the most well-known of which is the subsumption architecture. In this paper, the performances of the uni
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3fc3d57d6885587dfe7a4192eadcb6ee
https://doi.org/10.1007/s10710-014-9229-x
https://doi.org/10.1007/s10710-014-9229-x
Publikováno v:
CEC
Numerous niching algorithms have been developed to find multiple optima for multimodal optimisation problems. Analysis of niching algorithms presents a problem due to the multiple objectives of niching algorithms, that is, to find as many optima as p
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3a4baa9cfae7c6e0838f46e3b484cb4d
https://doi.org/10.1109/cec.2016.7744401
https://doi.org/10.1109/cec.2016.7744401
Autor:
M. Chudy, Jonathan Mwaura
Publikováno v:
2016 IEEE PES PowerAfrica.
With spreading of renewable energy in energy mix of national grids, the issue of high capacity and efficient energy storage is becoming very critical. A comprehensive model of South African power grid developed at the University of Pretoria is presen
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a3b4a435293f1411874634ae19430763
https://doi.org/10.1109/powerafrica.2016.7556620
https://doi.org/10.1109/powerafrica.2016.7556620
Autor:
Edward Keedwell, Jonathan Mwaura
Publikováno v:
SSCI
Current trends in evolutionary robotics (ER) involve training a neuro-controller using one of the various population based algorithms. The most popular technique is to learn the optimal weights for the neural network. There is only a limited research
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::82e8c7b0c2cb8dd5b331e3c67376c1e3
https://doi.org/10.1109/ssci.2015.153
https://doi.org/10.1109/ssci.2015.153
Publikováno v:
AFRICON
Solar energy is a much discussed renewable resource in South Africa. Possible reasons are on-going energy crisis as well as very high solar radiation intensities in the country. Among numerous technical challenges with increase of solar energy capaci
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::db5714194c2752e702d838e6a96be670
https://doi.org/10.1109/afrcon.2015.7331968
https://doi.org/10.1109/afrcon.2015.7331968
Publikováno v:
2013 BRICS Congress on Computational Intelligence and 11th Brazilian Congress on Computational Intelligence.
This paper utilises Evolved Linker Gene Expression Programming (EL-GEP), a new variant of Gene Expression Programming (GEP), to solve symbolic regression and sequence induction problems. The new technique was first proposed in [6] to evolve modularit
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7e481703ccb41882f199bd939abc16cc
https://doi.org/10.1109/brics-cci-cbic.2013.22
https://doi.org/10.1109/brics-cci-cbic.2013.22
Autor:
Edward Keedwell, Jonathan Mwaura
Publikováno v:
Towards Autonomous Robotic Systems ISBN: 9783642232312
TAROS
TAROS
Incremental learning [3] and layered learning [4] have been proposed as suitable approaches to improve evolutionary robotic (ER) algorithms by subdividing the required behaviour into simpler tasks. However, incremental learning does not divide the co
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a1808272898718eb52760bc3b8fee8ad
https://doi.org/10.1007/978-3-642-23232-9_43
https://doi.org/10.1007/978-3-642-23232-9_43
Autor:
Edward Keedwell, Jonathan Mwaura
Publikováno v:
IEEE Congress on Evolutionary Computation
Genetic Algorithms and Genetic programming have been used extensively in Evolutionary robotics (ER) with the goal of automatic programming of robotic controllers and has shown to be a promising approach. In this paper, we demonstrate the use of Gene
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c6145883bdc2607d85fd6814cf1d0793
https://doi.org/10.1109/cec.2010.5586083
https://doi.org/10.1109/cec.2010.5586083