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David Mester
Researcher at University of Haifa
Publications - 22
Citations - 1233
David Mester is an academic researcher from University of Haifa. The author has contributed to research in topics: Vehicle routing problem & Discrete optimization. The author has an hindex of 13, co-authored 22 publications receiving 1183 citations.
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Journal ArticleDOI
Active guided evolution strategies for large-scale vehicle routing problems with time windows
David Mester,Olli Bräysy +1 more
TL;DR: A new and effective metaheuristic algorithm, active guided evolution strategies, for the vehicle routing problem with time windows, which combines the strengths of the well-known guided local search and evolution strategies metaheuristics into an iterative two-stage procedure.
Journal ArticleDOI
Active-guided evolution strategies for large-scale capacitated vehicle routing problems
David Mester,Olli Bräysy +1 more
TL;DR: The applied metaheuristic combines the strengths of the well-known guided local search and evolution strategies metaheuristics into an iterative two-stage procedure that provides the best-known solutions to 70 test instances.
Journal ArticleDOI
Constructing large-scale genetic maps using an evolutionary strategy algorithm
TL;DR: In this article, a fast and reliable algorithm developed for the TSP and based on evolution-strategy discrete optimization was applied for multilocus ordering on the basis of pairwise recombination frequencies.
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Genetic Dissection of Intermated Recombinant Inbred Lines Using a New Genetic Map of Maize
Yan Fu,Tsui-Jung Wen,Yefim Ronin,Hsin D. Chen,Ling Guo,David Mester,Yongjie Yang,Michael D. Lee,Abraham B. Korol,Daniel Ashlock,Patrick S. Schnable +10 more
TL;DR: A new genetic map of maize, ISU–IBM Map4, that integrates 2029 existing markers with 1329 new indel polymorphism (IDP) markers has been developed using intermated recombinant inbred lines (IRILs) from the interMated B73 × Mo17 (IBM) population to facilitate a wide variety of genetic and genomic research projects.
Journal ArticleDOI
An Effective Multirestart Deterministic Annealing Metaheuristic for the Fleet Size and Mix Vehicle-Routing Problem with Time Windows
TL;DR: A new deterministic annealing metaheuristic for the fleet size and mix vehicle-routing problem with time windows that outperforms the previously published results and found 167 best-known solutions.