D
Derek Long
Researcher at King's College London
Publications - 198
Citations - 7833
Derek Long is an academic researcher from King's College London. The author has contributed to research in topics: Domain (software engineering) & Automated planning and scheduling. The author has an hindex of 39, co-authored 196 publications receiving 7333 citations. Previous affiliations of Derek Long include Durham University & University College London.
Papers
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Proceedings Article
Challenge: modelling unit commitment as a planning problem
TL;DR: This paper provides a formal description of Unit Commitment, and it presents its formulation as MIP and as a planning problem, which is a novel and interesting application area for planning, with features that make the domain challenging for current planners.
Proceedings Article
Plan execution under resource consumption uncertainty
J. Gough,Maria Fox,Derek Long +2 more
TL;DR: A strategy for executing plans with resource consumption distributions and techniques to improve utility by exploiting opportunities are discussed, and a new technique called best expected utility is presented.
Validating plans with continuous effects
Richard Howey,Derek Long +1 more
TL;DR: The need for continuous effects, their semantics and the problems that arise in validation of plans that include them are reviewed and progress in implementing the semantics is reported in an extended version of the plan validation software.
Proceedings Article
Exploring Metric Sensitivity of Planners for Generation of Pareto Frontiers.
Michal Sroka,Derek Long +1 more
TL;DR: This paper explores how current planners behave when exposed to multiple metrics, examining which of the planners are metric sensitive and which are not and proposes a new method of simulating metric sensitivity for the purpose of generation of diverse plans close to a pareto frontier.
On-board timeline validation and repair : a feasibility study
TL;DR: In this paper, the authors report on the progress and outcome of a recent ESAfunded project (MMOPS) designed to explore the feasibility of on-board reasoning about payload timelines.