Parallel Cloning Simulation of Flood Mitigation Operations in the Upper-Middle Reach of Huaihe River

Zhang, Guoyi; Fang, Minghui; Qian, Mingkai; Xu, Shijin

doi:10.1109/cyberc.2012.21

Cited by 2 publications

(2 citation statements)

References 17 publications

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“…While the number of hydraulic boundaries is too large, an alternative approach, e.g., the "parallel cloning simulation" [3] technique should be used to reduce the redundant computation in repeated analysis of similar scenarios. Nevertheless, there is no guarantee that a feasible scenario will be obtained, let alone the optimal one, since there is no global judgement rules for measuring the feasibility of a scenario.…”

Section: B Flood Mitigation Optimization and Alternative Scenario Sementioning

confidence: 99%

Alternative Scenario Selection Games for Flood Mitigation Optimization

Zhang¹,

Zhang²,

Fang³

2016

Proceedings of 2016 International Conference on Modeling, Simulation and Optimization Technologies and Applications (MSOTA2016)

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Abstract-Simulation based decision making tools, such as simulation cloning, "what-if" analysis, and etc., has being a beneficial way to analyzing of multiple alternative scenarios, however, there is no guarantee that a simulator could obtain a feasible scenario meeting the flood mitigation requirements, let alone an optimal one. Motivated by J. R. Marden and his colleague's work "cooperative control and potential games", a novel technique, the alternative scenario selection game, was proposed in this paper to solve the flood mitigation optimization problem, in which the alternative scenario selection problem was modeled as a potential game with appropriately defined players' utilities. A SAP (Spatial Adaptive Play) based learning algorithm for the potential game with suboptimal Nash equilibria was introduced to help all players to converge to a consensus after finite iteration steps. Case study and performance evaluation shows that the proposed technique is feasible and stable, within a few iteration steps, all players could quickly reach the goal of the expected flood peak point.

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Section: B Flood Mitigation Optimization and Alternative Scenario Sementioning

confidence: 99%

Alternative Scenario Selection Games for Flood Mitigation Optimization

Zhang¹,

Zhang²,

Fang³

2016

Proceedings of 2016 International Conference on Modeling, Simulation and Optimization Technologies and Applications (MSOTA2016)

Self Cite

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“…Cloning techniques [8,9,7,4,19] are also ways to reuse the intermediate simulation states and events for efficient repeating simulation. In the cloning of simulation, the simulation states in some decided time is copied and from the decided time the simulation is branched with different parameters or scenarios.…”

Section: Related Workmentioning

confidence: 99%

Exact-Differential Large-Scale Traffic Simulation

Hanai

Suzumura²,

Theodoropoulos

et al. 2015

Proceedings of the 3rd ACM SIGSIM Conference on Principles of Advanced Discrete Simulation

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The full-text may be used and/or reproduced, and given to third parties in any format or medium, without prior permission or charge, for personal research or study, educational, or not-for-prot purposes provided that:• a full bibliographic reference is made to the original source • a link is made to the metadata record in DRO • the full-text is not changed in any way The full-text must not be sold in any format or medium without the formal permission of the copyright holders.Please consult the full DRO policy for further details. ABSTRACTAnalyzing large-scale traffics by simulation needs repeating execution many times with various patterns of scenarios or parameters. Such repeating execution brings about big redundancy because the change from a prior scenario to a later scenario is very minor in most cases, for example, blocking only one of roads or changing the speed limit of several roads. In this paper, we propose a new redundancy reduction technique, called exact-differential simulation, which enables to simulate only changing scenarios in later execution while keeping exactly same results as in the case of whole simulation. The paper consists of two main efforts: (i) a key idea and algorithm of the exact-differential simulation, (ii) a method to build large-scale traffic simulation on the top of the exact-differential simulation. In experiments of Tokyo traffic simulation, the exact-differential simulation shows 7.26 times as much elapsed time improvement in average and 2.26 times improvement even in the worst case as the whole simulation.

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Parallel Cloning Simulation of Flood Mitigation Operations in the Upper-Middle Reach of Huaihe River

Cited by 2 publications

References 17 publications

Alternative Scenario Selection Games for Flood Mitigation Optimization

Alternative Scenario Selection Games for Flood Mitigation Optimization

Exact-Differential Large-Scale Traffic Simulation

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