A Framework for Unsupervised Multi-Objective Optimization of Transport Networks through the Use of Genetic Algorithms: Demonstrated Through the Optimization of Indian Inter-City Transport

[ACCEPTED FOR PUBLICATION IN THE DAIS JOURNAL OF SCIENCE 2023] Intercity travel optimization has always been a goal of every government. Such an optimization would allow efficient and economical development. Optimizing travel would facilitate transfer of ideas and resources and promote economic growth. As such, travel can be optimized on two fronts: cost of arranging for that travel and the ease of travel i.e., the length/time of travel for a person to go from any one city to any other. This study proposes a methodology of optimizing travel pathways in any circumstance through genetic algorithm metaheuristics and network theory representations. This study demonstrates the same to optimize inter-city travel between the 25 cities with the highest population in India.