Automated test data generation using a scatter search approach
Information and Software Technology
ISMIS '09 Proceedings of the 18th International Symposium on Foundations of Intelligent Systems
An aggregation heuristic for large scale p-median problem
Computers and Operations Research
HPCA'09 Proceedings of the Second international conference on High Performance Computing and Applications
An integrated approach to multi-criteria-based health care facility location planning
PAKDD'11 Proceedings of the 15th international conference on New Frontiers in Applied Data Mining
Expert Systems with Applications: An International Journal
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This work is aimed at finding the best locations in which to place health resources for treating patients who have suffered a diabetic coma in the province of Burgos, Spain. The authors have modeled the problem of locating facilities in Burgos to minimize the number of patients who suffer permanent damage after going into a diabetic coma. To do so, they introduced two probabilities: that of a patient suffering a diabetic coma, and that of a patient in a coma having permanent damage. The authors adapted, implemented, and compared the algorithms based on three metaheuristic strategies: scatter search, tabu search, and variable neighborhood search.