D
Dylan Jones
Researcher at University of Portsmouth
Publications - 103
Citations - 3742
Dylan Jones is an academic researcher from University of Portsmouth. The author has contributed to research in topics: Goal programming & Offshore wind power. The author has an hindex of 27, co-authored 98 publications receiving 3334 citations. Previous affiliations of Dylan Jones include University of Bradford & Technical University of Madrid.
Papers
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Journal ArticleDOI
Goal programming for decision making: an overview of the current state-of-the-art
TL;DR: Modelling techniques such as detection and restoration of pareto efficiency, normalisation, redundancy checking, and non-standard utility function modelling are overviewed, and the rationality of ranking Multi-Criteria Decision Making techniques is discussed.
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Multi-objective meta-heuristics: An overview of the current state-of-the-art
TL;DR: An overview of meta-heuristics methods utilized within the paradigm of multi-objective programming, which has undergone substantial expansion and development in the past decade is given.
Book
Practical Goal Programming
Dylan Jones,Mehrdad Tamiz +1 more
TL;DR: Practical Goal Programming is intended to allow academics and practitioners to be able to build effective goal programming models, to detail the current state of the art, and to lay the foundation for its future development and continued application to new and varied fields.
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A review of Goal Programming and its applications
TL;DR: This paper presents a review of the current literature on the branch of multi-criteria decision modelling known as Goal Programming (GP), and the result of investigations of the two main GP methods, lexicographic and weighted GP together with their distinct application areas is reported.
Journal ArticleDOI
Optimisation of maintenance routing and scheduling for offshore wind farms
TL;DR: An optimisation model and a solution method for maintenance routing and scheduling at offshore wind farms are proposed that finds the optimal schedule for maintaining the turbines and the optimal routes for the crew transfer vessels to service the turbines along with the number of technicians required for each vessel.