MOMVO for cost and reliability optimization of vehicle fuel system

System reliability and cost are crucial components in designing many types of equipment. Proper design is required to achieve a balance between design expenses and the highest possible performance. Multiple conflicting objectives, such as maximizing system reliability and minimizing the total cost with constraints weight, and volume of the systems, lead to complex decision-making difficulties. Balancing design system costs and system reliability during the equipment development process is a challenging task for engineers and designers. Thus, these conflicting demands must be taken under consideration as the main aim of the optimization problem. Hence, this article investigates the multiobjective (bi-objective) optimization problem for the fuel system of a vehicle (FSV) using a new variant known as a multiobjective multi-verse optimizer (MOMVO). The outcomes demonstrate how effectively the suggested method works to solve the problems. Finally, the authors have given the obtained results in convergence graph and tabular form.