Multievent Crisis Management Using Noncooperative Multistep Games.
The optimal allocation of resources to locations in the event of multiple crises in an urban environment is an intricate problem, especially when the available resources are limited. In such a , it is important to allocate units in a fair manner based on the criticality of the events and their requests. In this research, a is developed which incorporates a resource allocation algorithm. The problem is formulated as a game-theoretic framework in which the crisis events are modeled as the players, the emergency centers as the resource locations with emergency units to be scheduled, and the possible allocations as strategies. The payoff is modeled as a function of the criticality of the event and the anticipated response times. The game is played assuming a specific region within a certain locality of the crisis events to derive an optimal allocation. If a is not feasible, the perimeter of the locality in consideration is increased and the game is repeated until convergence. Experimental results are presented to illustrate the efficacy of the proposed methodology and metrics are derived to quantify the fairness of the . A regression analysis is performed to establish the statistical significance of the results. [ABSTRACT FROM AUTHOR]/nCopyright of IEEE Transactions on Computers is the property of IEEE and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Execution Time AnalysisFairness of resource allocationThe experiments were executed on eight CPU SunOS systems with each experimental result being an average of 50 iterations of same player-resource pair.
Game theory
Max-min fairness: if no player can increase its total utility of allocation without decreasing the total utility for any other playerResponse time: determines the practicability of an management system
Specific description of the board game and allocation algorithm.The methodology identifies the events as the players and the emergencyresponse centers as the resource locations available in the system.
Simulated setup: Non-cooperative games:50 iterations of same player-resource pair. A total of around 9,000 tests was performed.
A management is developed which incorporates a resource allocation algorithm.
Many constraints for the algorithm to workWorks in specific context only
The Nash equilibrium optimization algorithm has been implemented for allocation because it provides a fair allocation for each player and for the systemitself.
Experiments were conducted on a test set that consisted of at most six players, each player requesting a maximum of 60 resource units with a total system-wide requirement of at most 150 resource units. The number of resource centerswas varied from 3 to 17 and the values of other parameters were randomly generated.
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