IEEE

Influence Maximization in Social Networks Using Improved Genetic Algorithm

Abstract: Influence maximization is one of the important problems in network science, data mining, and social media analysis. It focuses on identifying the most influential individuals (or nodes) in a ...
IEEE

Optimizing Genetic Algorithms for TSP: Evaluating Greedy Permuting Method with Diverse Selection and Crossover Techniques

Abstract: The Greedy Permuting Method (GPM) is a method introduced for initial population generation in the Genetic Algorithm (GA). For a test problem with 280 cities, the generated initial population ...