The University of Edinburgh -
Division of Informatics
Forrest Hill & 80 South Bridge


Research Paper #826

Title:An Evolutionary/Meta-Heuristic Approach to Emergency Resource Redistribution in the Developing World
Authors:Tuson,AL; Wheeler,R; Ross,PM
Date:Aug 1996
Presented:Submitted to the Third International Conference on Artificial Neural Networks and Genetic Algorithms
Keywords:
Abstract:The problem of logistics and resource management in disease control projects in the developing world can hardly be understated. One problem that arises is the occurance of regional imbalances in supply. Such imbalances can seriously compromise the effectiveness of such programs. A prototype system , based upon evolutionary and 'meta-heuristic' optimisation techniques is described. This system recommends a plan for the redistribution of available resources to minimise shortages for real situations in the developing world. Evaluation of the system indicated that the generation of good, feasible redistribution plans is possible. A comparison of the optimisers showed that evolutionary techniques perform poorly on this problem when compared to stochastic hillclimbing.
Download:POSTSCRIPT COPY


[Search These Pages] [DAI Home Page] [Comment]