دانلود رایگان کاربرد الگوریتم کلونی مورچه برای تشخیص آنومالی ژئوشیمیایی

This paper explores the application of the Ant Colony Optimization (ACO) algorithm for detecting geochemical anomalies. Identifying geochemical anomalies is crucial for mineral exploration and environmental studies. ACO, inspired by the collective behavior of ants seeking the shortest path to food, offers significant potential for identifying unusual patterns in geochemical data due to its robust capabilities in solving combinatorial optimization problems and exploring complex search spaces. The research details the fundamental principles of ACO and its implementation for processing and analyzing geochemical datasets. The primary objective is to present an efficient method for pinpointing areas with anomalous concentrations of specific elements, potentially indicating mineral deposits or environmental pollution. Case studies and simulation results validate the effectiveness of this approach compared to traditional methods.