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pro vyhledávání: '"Jimoh, Falilat"'
Autor:
Jimoh, Falilat
Most desired applications for planning and scheduling typically have the characteristics of a continuous changing world. Unfortunately, traditional classical planning does not possess this characteristic. This drawback is because most real-world situ
Externí odkaz:
http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.700579
Automated planning and scheduling are increasingly utilised in solving evsery day planning task. Planning in domains with continuous numeric changes present certain limitations and tremendous challenges to advanced planning algorithms. There are many
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f9a2225dd7bb2d55f809be8f46dbccac
Autor:
Jimoh, Falilat, McCluskey, T.L.
Publikováno v:
Proceedings of the 34th Workshop of the UK Planning and Scheduling Special Interest Group (PlanSIG)
This paper describes a framework for a hybrid algorithm that combines both AI Planning and Model Predictive Control approaches to reason with processes and events within a domain. This effectively utilises the strengths of search-based and model-simu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=core_ac_uk__::7c5cff78b2fc32a5a98a48fe1b6fa440
https://eprints.hud.ac.uk/id/eprint/31787/1/Jimoh-McCluskey.pdf
https://eprints.hud.ac.uk/id/eprint/31787/1/Jimoh-McCluskey.pdf
Autor:
Jimoh, Falilat, McCluskey, T.L.
Advanced urban traffic control systems are often based on feed-back algorithms. They use road traffic data which has been gathered from a couple of minutes to several years. For instance, current traffic control systems often operate on the basis of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=core_ac_uk__::2d64b4161b0ed58fd0f7c9c76ac17a8a
https://eprints.hud.ac.uk/id/eprint/23284/1/ARTBOOK_camera_ready.pdf
https://eprints.hud.ac.uk/id/eprint/23284/1/ARTBOOK_camera_ready.pdf
Autor:
Jimoh, Falilat, McCluskey, T.L.
Advanced urban traffic control systems are often based on feed-back algorithms. For instance,\ud current traffic control systems often operate on the basis of adaptive green phases and flexible coordination in road (sub) networks based on measured tr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=core_ac_uk__::5a80627755b97a0203c9dab9e0455724
https://eprints.hud.ac.uk/id/eprint/19367/2/jimoh.pdf
https://eprints.hud.ac.uk/id/eprint/19367/2/jimoh.pdf
Publikováno v:
30th Workshop of the UK Planning And Scheduling Special Interest Group PLANSIG 2012
Current autonomic computing systems tend to rely\ud on reactive rather than deliberative reasoning, that is, they use a simpler form of reasoning over sets of de�fined rules in order to be able to work in real-time. However, technology in areas suc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=core_ac_uk__::ea19c0d79cdb75acfa6c854341ee446a
https://eprints.hud.ac.uk/id/eprint/16523/1/autonomic.pdf
https://eprints.hud.ac.uk/id/eprint/16523/1/autonomic.pdf
Publikováno v:
16th International IEEE Conference on Intelligent Transportation Systems (ITSC 2013); 2013, p985-990, 6p
Publikováno v:
Artificial Intelligence Applications & Innovations (9783642411410); 2013, p121-130, 10p
Publikováno v:
The UK Planning and Scheduling Special Interest Group (UK PlanSIG) 2014
Local authorities that manage traffic-related issues in\ud urban areas have to optimise the use of available resources,\ud in order to minimise congestion and delays.\ud In this context, Automated Planning and Scheduling\ud can be fruitfully exploite
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=core_ac_uk__::a13b0318d6600a98a516a7190d4aa105
https://eprints.hud.ac.uk/id/eprint/22801/1/PlanSIG14.pdf
https://eprints.hud.ac.uk/id/eprint/22801/1/PlanSIG14.pdf
Autor:
Jimoh, Falilat
Most desired applications for planning and scheduling typically have the characteristics of a continuous changing world. Unfortunately, traditional classical planning does not possess this characteristic. This drawback is because most real-world situ
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=core_ac_uk__::b95ec97d45421a8129849defc0ae374f