The optimization of gas pipeline networks plays a pivotal role in ensuring the effi cient and economically viable transportation

of natural gas. In this research, we have developed a comprehensive mathematical model capable of analyzing diverse

network confi gurations, encompassing both linear and branched topologies. Our scientifi c investigation aims to explore the

optimization potential of gas pipeline networks, employing a sophisticated and systematic approach to enhance network

design and operation. The overarching objective is to achieve maximum effi ciency and reliability in gas delivery to customers.

The optimization process focuses on minimizing power requirements, maximizing gas fl ow rate, minimizing the

fuel consumption, and maximizing line pack to ensure the optimal utilization of the pipeline infrastructure. To accomplish

these objectives, our study employs advanced mathematical models that accurately depict network behavior, cutting-edge

simulation tools to explore various operational scenarios, and state-of-the-art optimization algorithms to identify the most

favorable network confi guration and operating conditions. To facilitate this optimization process, we have incorporated the

VI ekriterijumsko KO mpromisno R angiranje (VIKOR) method, a potent multi-criteria decision-making technique. Through

the application of this approach to two case studies, we have demonstrated its eff ectiveness in identifying optimal network

confi gurations. Furthermore, we have conducted an analysis to determine the total cost and fuel consumption associated

with diff erent network confi gurations, off ering valuable insights for decision-making purposes. The results of our study

underscore the superiority of our approach in identifying more economical networks compared to existing methods. By

embracing the proposed approach, gas transportation networks can be optimized to achieve superior cost-effi ciency and

reduced fuel consumption.