A Comparative Study of Adaptive Crossover Operators for Genetic Algorithms toResolve the Traveling Salesman Problem

This research paper presents a comparative study on the effectiveness of various adaptive crossover operators within genetic algorithms for optimizing solutions to the Traveling Salesman Problem. It investigates how different operator strategies impact the convergence and solution quality in this classic combinatorial optimization challenge.