A System Elastic Recovery Algorithm Considering Time and Task Importance
A technology of system flexibility and importance, applied in the field of algorithm application, to achieve effective and fast global search, concise algorithm, and good maintenance strategy
Active Publication Date: 2021-01-05
江苏三台山数据应用研究院有限公司
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Problems solved by technology
[0006] The setting of the adaptive value function of the existing intelligent optimization algorithm rarely involves information such as task importance, so it is difficult to measure how many tasks the repaired system can complete under normal conditions, and there are few time constraints and grouping The consideration of the model, these are the aspects that need to be improved
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[0036] The technical solutions of the present invention will be further described below in conjunction with the accompanying drawings and embodiments.
[0037] Such as figure 1 The shown system resilience recovery algorithm considering time and task importance includes the following steps:
[0038] (1) Population individuals are coded as maintenance order, each parameter of the population is initialized, and information such as importance and maintenance time is added. The number of nodes is 40, the abscissa and ordinate are random numbers between (0,100), the node importance is a random number between (1,5), and the node maintenance time is a random number between (1,500). Time t=0, population size popSize=80, maximum number of iterations numIter=1000;
[0039] By adding time constraints and group maintenance, a fitness function based on task importance is constructed. Maintenance time expression t for each maintenance team i (i=1,2,3,4,5) is:
[0040]
[0041] Among ...
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The invention discloses a system elastic recovery algorithm considering time and task importance. Firstly, each parameter value of the population is initialized, and the individuals in the population are coded as maintenance order, and information such as importance degree and maintenance time is added to each node, and then added According to time constraints, a fitness function based on task importance is constructed to obtain the node importance that each group of maintenance personnel can repair within a limited time, and the total individual importance can be obtained through accumulation. Through this method, the optimal individual with the highest total importance in the population is obtained, and then the optimal individual in all generations is obtained through the iteration of the genetic algorithm, which is the optimal maintenance order. The advantage is: this kind of system elastic recovery algorithm considering time and task importance is simple and efficient, and can quickly obtain the maintenance strategy and maintenance results that make the task with the highest importance in a limited time. This recovery algorithm can make the damaged system Elasticity is quickly restored.
Description
technical field [0001] The invention relates to the technical field of algorithm application, in particular to a system elastic restoration algorithm considering time and task importance. Background technique [0002] The word resilience is originally derived from the Latin word "resiliere", which means "to bounce back". A common interpretation of the word resilience means the ability of an entity or system to return to a normal state after an event. The idea of elasticity originated from ecology in the early 1960s and 1970s, and was mainly devoted to the interaction of groups such as predators and prey and their related research on the theory of ecological stability. With the increasing emphasis on elasticity, elasticity has been continuously applied and developed in daily life, and now the idea of elasticity has been applied to different fields such as ecology, material science, engineering, psychology and economics. [0003] Resilience is a term that is the ability ...
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IPC IPC(8): G06F30/20G06N3/12G06F111/10G06F119/14
CPCG06N3/126
Inventor 李震崔骁松孙晨旭田璐
Owner 江苏三台山数据应用研究院有限公司