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• W3000679898 abstract "In smart factories, integrated optimisation of manufacturing process planning and scheduling leads to better results than a traditional sequential approach but is computationally more expensive and thus difficult to be applied to real-world manufacturing scenarios. In this paper, a working approach for cloud-based distributed optimisation for process planning and scheduling is presented. Three managers dynamically governing the creation and deletion of subpopulations (islands) evolved by a multi-objective genetic algorithm are proposed, compared and contrasted. A number of test cases based on two real-world manufacturing scenarios are used to show the applicability of the proposed solution." @default.
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• W3000679898 date "2020-02-01" @default.
• W3000679898 modified "2023-09-23" @default.
• W3000679898 title "Scalable distributed evolutionary algorithm orchestration using Docker containers" @default.
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• W3000679898 doi "https://doi.org/10.1016/j.jocs.2019.101069" @default.
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