Effects of Addiction to AI-Modified Least Cost Method in Solving Transportation Problems

Artificial Intelligence (AI) has become a phenomenon in today’s rapidly changing technological world and it significantly affects the daily life of humans in both ways; opportunities and challenges. Despite the fact that AI improves connectivity and access to information, there are also issues of reliability and emotional, mental, social well-being of users that have become particularly important for Generation Z. In this paper, the effect of over AI dependency is studied and a two step exact algorithm to solve transportation problem more efficiently is also introduced. The integration of the Least Cost Cell selection strategy with modified distribution method inspired provides a systematic solution to both balanced and unbalanced transportation problems. The algorithm is evaluated on the results of the experiments through several case studies to show that it can optimize transportation costs and keep computational complexity low. Furthermore, the study investigates the relation between AI engagement and addiction patterns of teenagers based on real world data using transportation models. This paper also proves the effectiveness of the proposed algorithm by detailed case analysis and result discussions, and also emphasizes the importance to use AI balanced.