GIS-BASED RAG-CODED SEARCH PRIORITY SCENARIOS FOR PREDICTIVE MAPS TO PREVENT FUTURE SERIAL SERIOUS CRIMES: THE CASE STUDY OF THE FLORENCE MONSTER

GIS-based RAG-coded search priority scenarios for predictive maps to prevent future serial serious crimes: The case study of the Florence Monster

In the Peels present research, the GIS (Geographical Information System)-based RAG (Red-Amber-Green) color-coded search priority system was applied to the case study of the serial murders of the monster of Florence occurred between 1968 and 1985 in the Florence province (northern Italy).Through a predictive search priority scenario, the RAG maps we

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A novel three-stage multi-population evolutionary algorithm for constrained multi-objective optimization problems

Abstract Lots of real-world optimization problems are inherently constrained multi-objective optimization problems (CMOPs), but the existing constrained multi-objective optimization evolutionary algorithms (CMOEAs) often fail to balance convergence and diversity effectively.Therefore, a novel constrained multi-objective optimization evolutionary al

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