Alternative Scenario Selection Games for Flood Mitigation Optimization

DOI

10.2991/msota-16.2016.104How to use a DOI?

Keywords

flood mitigation optimization; alternative scenario selection; potential game; consensus; cooperative control

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.

Copyright

© 2017, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Guoyi Zhang
AU  - Kaiwen Zhang
AU  - Minghui Fang
PY  - 2016/12
DA  - 2016/12
TI  - Alternative Scenario Selection Games for Flood Mitigation Optimization
BT  - Proceedings of 2016 International Conference on Modeling, Simulation and Optimization Technologies and Applications (MSOTA2016)
PB  - Atlantis Press
SP  - 463
EP  - 467
SN  - 2352-538X
UR  - https://doi.org/10.2991/msota-16.2016.104
DO  - 10.2991/msota-16.2016.104
ID  - Zhang2016/12
ER  -