Spatial water resource allocation using a multi-objective ant colony optimization

The present paper deals with a characteristic problem of spatial optimization, concerning groundwater resource allocation over the extent of a given spatial field. The method employed is ant colony optimization both in a singleand in a bi-objective sense. The objectives are: (i) pumping cost minimization; and (ii) minimization of the transport cost involved in distributing the extracted water quantities to the various locations of the given two-dimensional space. A version of ant colony optimization is presented combined with cellular automata in order to reflect the spatial character of the problem. The method is compared to an operative spatial genetic algorithm and hybridizations of the two approaches are presented, thus generating new singleand bi-objective optimization algorithms.

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