Ant Colony Optimization: A Novel Metaheuristic Method for Combinatorial Optimization Problems with Code Implementation Insights
Ant Colony Optimization (ACO) is an innovative metaheuristic approach for solving combinatorial optimization problems, characterized by positive feedback mechanisms, distributed computation, and constructive greedy heuristic search properties. By establishing appropriate mathematical models, fault location in distribution networks based on fault current can be transformed into a nonlinear global optimization problem. The algorithm implementation typically involves pheromone update rules, probabilistic path selection, and iterative refinement procedures.