A cellular heuristic for the multisource Weber problem

The multisource location–allocation problem in the continuous space is investigated. A learning scheme which uses previous solutions to discretise the continuous space into well-defined cells is proposed. This cells-based technique takes into account frequency of occurrence of already found configurations as well as the compatibility of these configurations. Some results on existing test problems are presented.