Improved algorithms for several network location problems with equality measures
Discrete Applied Mathematics
An agent-based framework for solving an equity location problem
KES-AMSTA'11 Proceedings of the 5th KES international conference on Agent and multi-agent systems: technologies and applications
The modification of genetic algorithms for solving the balanced location problem
Proceedings of the Fifth Balkan Conference in Informatics
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In this paper, we investigate the location of facilities with equity considerations, namely, minimizing the Gini coefficient of the Lorenz curve based on service distances. Properties of the Gini coefficient in the context of location analysis are investigated both for demand originating at points and demand generated in an area. An algorithm that finds the optimal location of one facility in a bounded area in the plane when demand is generated at a set of demand points, is constructed. Randomly generated problems with up to 10,000 demand points are successfully solved in a reasonable computer time.