By Topic

A Game Theoretic Approach for Resource Allocation Based on Ant Colony Optimization in Emergency Management

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$33 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

4 Author(s)
Zhiyong Wang ; Sch. of Electron. & Inf. Eng., Tongji Univ., Shanghai, China ; Weisheng Xu ; Jijun Yang ; Jiazhen Peng

In the context of multiple emergencies occurring simultaneously, the optimal allocation of relief resources to multiple emergency locations is a challenging issue in emergency management. This work presents a noncooperative complete information game model for resource allocation and an algorithm for calculating Nash equilibrium (NE). In this model, the players represent the multiple emergency locations, strategies correspond to possible resource allocations, and the payoff is modeled as function of the cost of allocation and the amount of resources requested. Thus, the optimal results are determined by the Nash equilibrium of this game. Then we design an improved ant colony optimization (ACO) algorithm to obtain the Nash equilibrium by introducing dynamic random search technique. Experimental results show that the proposed model is effective in optimizing resource allocation during multiple emergencies for emergency management decision support.

Published in:

Information Engineering and Computer Science, 2009. ICIECS 2009. International Conference on

Date of Conference:

19-20 Dec. 2009