Abstract
As one of the important attributes of the system, more and more attention has been paid to the resilience of the system, and the system should recover as many key tasks as possible within the specified time after the damage. Therefore, the corresponding recovery strategy and the extent to which it can be recovered are very important for the resilience of the system. In response to this situation, this article proposes a new fitness function considering time and spare parts constraints, task importance and other factors for two wartime situations. The genetic algorithm is used to solve the maximum value of the system recovery task importance within a specified time, to obtain a satisfactory solution for the model, and applies it to ship system. In the simulation example, the comparison shows that the system using this algorithm has higher resilience recovery ability, which proves the effectiveness of the random model and algorithm.
Original language | English |
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Title of host publication | Conference Proceedings of the 8th International Symposium on Project Management, ISPM 2020 |
Editors | Wan You, Changbo Cheng, Henry Zhang |
Publisher | Aussino Academic Publishing House |
Pages | 1045-1058 |
Number of pages | 14 |
Volume | 1 of 2 |
ISBN (Electronic) | 9781921712722 |
ISBN (Print) | 9781713815891 |
Publication status | Published - 1 Aug 2020 |
Event | 8th International Symposium on Project Management - Beijing, China Duration: 4 Jul 2020 → 5 Jul 2020 Conference number: 8 |
Conference
Conference | 8th International Symposium on Project Management |
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Abbreviated title | ISPM 2020 |
Country/Territory | China |
City | Beijing |
Period | 4/07/20 → 5/07/20 |