D
David Corne
Researcher at Heriot-Watt University
Publications - 267
Citations - 15026
David Corne is an academic researcher from Heriot-Watt University. The author has contributed to research in topics: Evolutionary algorithm & Evolutionary computation. The author has an hindex of 47, co-authored 264 publications receiving 14358 citations. Previous affiliations of David Corne include Nanyang Technological University & University of Reading.
Papers
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Journal ArticleDOI
Approximating the Nondominated Front Using the Pareto Archived Evolution Strategy
Joshua Knowles,David Corne +1 more
TL;DR: The Pareto Archived Evolution Strategy (PAES) as discussed by the authors is a (1 + 1) evolution strategy employing local search but using a reference archive of previously found solutions in order to identify the approximate dominance ranking of the current and candidate solution vectors.
Book
New Ideas In Optimization
David Corne,Marco Dorigo,Fred Glover,Dipankar Dasgupta,Pablo Moscato,Riccardo Poli,Kenneth V. Price +6 more
TL;DR: The techniques treated in this text represent research as elucidated by the leaders in the field and are applied to real problems, such as hilllclimbing, simulated annealing, and tabu search.
Proceedings ArticleDOI
The Pareto archived evolution strategy: a new baseline algorithm for Pareto multiobjective optimisation
Joshua Knowles,David Corne +1 more
TL;DR: It is argued that PAES may represent the simplest possible non-trivial algorithm capable of generating diverse solutions in the Pareto optimal set, and is intended as a good baseline approach against which more involved methods may be compared.
Proceedings Article
PESA-II: region-based selection in evolutionary multiobjective optimization
TL;DR: A new selection technique for evolutionary multiobjective optimization algorithms in which the unit of selection is a hyperbox in objective space, which is shown to be more sensitive to ensuring a good spread of development along the Pareto frontier than individual-based selection.
Book ChapterDOI
The Pareto Envelope-Based Selection Algorithm for Multi-objective Optimisation
TL;DR: This work introduces a new multiobjective evolutionary algorithm called PESA (the Pareto Envelope-based Selection Algorithm), in which selection and diversity maintenance are controlled via a simple hyper-grid based scheme.