A multiagent approach to solving the dynamic postdisaster relief distribution problem

Author(s):  
Julián Alberto Espejo-Díaz ◽  
William J. Guerrero
2019 ◽  
Vol 1302 ◽  
pp. 022003
Author(s):  
Siyang Yin ◽  
Lijing Du ◽  
Yinfeng Xia ◽  
Zheng Ye

2016 ◽  
Vol 248 (1) ◽  
pp. 272-285 ◽  
Author(s):  
Pablo A. Maya Duque ◽  
Irina S. Dolinskaya ◽  
Kenneth Sörensen

10.1068/c21m ◽  
2002 ◽  
Vol 20 (5) ◽  
pp. 655-677 ◽  
Author(s):  
Carlos Gil ◽  
Pedro Pascual ◽  
Manuel Rapún

Economic disparities among the regions of the European Union are more pronounced than among countries. Structural Funds have played a crucial compensatory role, promoting the economic development and real convergence of lagging regions. The amount of resources destined to regional policy and the conflicts arising from its funding and distribution create the need for an adequate theoretical foundation or model to help politicians solve the distribution problem. In this paper we propose an empirical procedure to carry out and evaluate different distributions of funds for the periods 1989 – 93 and 1994 – 99. We begin with the estimation of an augmented production function to permit the calculation of the expected GDP per capita. We then propose a nonlinear programming method to simulate alternative distributions of Structural Funds among Objective 1 regions, based upon two different approaches: equal development, and equal opportunities. For these two approaches we calculate different possibilities, ranging from highly efficient to highly equitable, with the result that we are able to show the ‘frontier’ of optimal distributions. Finally, we evaluate these results and compare them with the real distribution.


1970 ◽  
Vol 2 (3) ◽  
pp. 341-356
Author(s):  
G. Jándy

In cases where certain simplifications are allowed, the location optimisation of given and indivisible different economic units may be modelled as a bi-value weighted distribution problem. The paper presents a heuristic algorithm for this network-flow-type problem and also a partial enumeration algorithm for deriving the exact solution. But it is also pointed out that an initial sub-optimal solution can quickly be improved with a derivation on a direct line only, if the exact solution is not absolutely essential. A numerical example is used to illustrate the method of derivation on a direct line starting with an upper bound given by a sub-optimal solution.


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