Cloud-based Integrated Process Planning and Scheduling Optimisation via Asynchronous Islands
Shuai Zhao, Haitao Mei, Piotr Dziurzanski, Przewozniczek Michal Witold and Soares Indrusiak Leandro
In this paper, we present Optimisation as a Service (OaaS) for an integrated process planning and scheduling in smart factories based on a distributed multi-criteria genetic algorithm (GA). In contrast to the traditional distributed GA following the island model, the proposed islands are executed asynchronously and exchange solutions at time points depending solely on the optimisation progress at each island. Several solutions' exchange strategies are proposed, implemented in Amazon Elastic Container Service for Kubernetes (Amazon EKS) and evaluated using a real-world manufacturing problem.
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BibTex Entry
@inbook{Zhao_2019,
author = {Shuai Zhao and Haitao Mei and Piotr Dziurzanski and Przewozniczek, {Michal Witold} and {Soares Indrusiak}, Leandro},
booktitle = {16th International Conference on the Economics of Grids, Clouds, Systems, and Services},
day = {1},
keywords = {Optimisation as a Service, Multi-objective Genetic Algorithm, Island Model, Amazon EKS, Integrated process planning and scheduling},
language = {English},
month = {7},
pure_url = {https://pure.york.ac.uk/portal/en/publications/cloudbased-integrated-process-planning-and-scheduling-optimisation-via-asynchronous-islands(0fd4f77a-9916-4aa5-b931-a46435319661).html},
title = {Cloud-based Integrated Process Planning and Scheduling Optimisation via Asynchronous Islands},
year = {2019}
}