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ASAP Project: Next Generation Decision Support |
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Title:
Next Generation Decision Support: Automating the Heuristic Design
Process
Objectives: Over the last twenty years or so, there has been significant scientific progress in building search methodologies and in tailoring those methodologies (usually through hybridisation with problem specific methods and information) for a very wide range of application areas. Such methodologies can be extremely effective in the hands of an expert but they require specialist human knowledge to be applied effectively in complex real world problem solving environments. The goal of developing automated systems to replace the human expert in this role is only just beginning to be seriously addressed by the scientific community, and the Automated Scheduling, Optimisation and Planning (ASAP) research group at Nottingham has played a pioneering role in placing this grand challenge upon the international scientific agenda. The aim of developing automated systems to intelligently select, evolve and develop search methods is an extremely ambitious and demanding research goal. The level of adventure should not be underestimated. The goal of exploring the boundaries between what is possible and what is not (with respect to the automation of the heuristic design process) represents one of the most important current research challenges to face the search and decision support community. Indeed, our aim is to build systems that can automatically create novel decision support software, thus substantially changing the research agenda and raising the level of generality and applicability of decision support systems. Funding Body: EPSRC (EP/D061571/1) Starts: 1 October 2006, Ends: 30 September 2011 Project:
References: Related Projects:
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Principal
Investigator: Prof Edmund K Burke Co-Investigators: Prof Graham Kendall Prof Sanja Petrovic Dr Jon M Garibaldi Dr Natalio Krasnogor Dr J.Dario Landa-Silva Dr Rong Qu Research Associates: Current Dr Gabriela Ochoa Dr Yuri Bykov Dr Tim Curtois Dr Matt Hyde Dr Jingpeng Li Dr Djamila Ouelhadj Dr German Terrazas Dr Antonio Vazquez Former Dr Matthieu Basseur Dr Daniel Barthel PhD Students: Sven Groenemeyer Qiang Guo Nam Pham Amr Soghier ASAP Research Themes: Methodology Adaptive Learning Case-Based Reasoning Evolutionary Algorithms Fuzzy Systems Heuristics and Meta-heuristics Human Computer Interaction Hyper-heuristics Multiobjective/Multicriteria Methods System Self Assembly Applications Bioinformatics Educational Timetabling Medical Optimisation Personnel Scheduling Production Scheduling/Re-scheduling Space Allocation Stock Cutting |
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| Last
Update: September 2007 gxo@cs.nott.ac.uk |