2013
DOI: 10.1007/s10458-013-9221-5
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Interacting behavioral Petri nets analysis for distributed causal model-based diagnosis

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Cited by 4 publications
(2 citation statements)
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“…The reachable chromosome only includes 16 transitions, e.g., Chro2*(the reachable chromosome of Chro2). Chro2* (7,14,2,15,20,28,10,29,22,11,3,12,25,17,31,5) The results. According to the optimization approach proposed in 2.5, the results are obtained through implementing it in C++.…”
Section: Applicationmentioning
confidence: 94%
See 1 more Smart Citation
“…The reachable chromosome only includes 16 transitions, e.g., Chro2*(the reachable chromosome of Chro2). Chro2* (7,14,2,15,20,28,10,29,22,11,3,12,25,17,31,5) The results. According to the optimization approach proposed in 2.5, the results are obtained through implementing it in C++.…”
Section: Applicationmentioning
confidence: 94%
“…TPN is one of the most widely used Petri net in engineering projects, especially for discrete time programming problem (e.g., production scheduling problem). On the one hand, TPN is used to analyze the properties of objects, such as reachability, safety, aliveness and persistence [9][10][11][12][13][14] . For another aspect, TPN is used as optimization model to obtain the best solution together with optimization algorithm, such as L1 algorithm [15] , Particle Swarm Optimization (PSO) [16] , Ant Colony Optimization (ACO) [17] , Simulated Annealing (SA) [18] and Genetic Algorithm (GA) [19][20][21] .…”
Section: Introductionmentioning
confidence: 99%