Cross section optimization of an auto crane articulated boom using metaheuristic optimization algorithms

Abstract

The proliferation of different metaheuristic optimization algorithms in recent years introduced novel optimization algorithms offering fast and computationally inexpensive solutions for various optimization problems. Two such algorithms, the Marine Predator Algorithm (MPA) and the Search and Rescue optimization algorithm (SARO) were employed for the cross-section optimization of auto crane articulated boom. The cross-section within a single segment is constant along its length and takes the shape of the box. For optimization, a mathematical model of construction was created that enabled the execution of the optimization process. The construction was considered in the position that is the most unfavourable in terms of deflection. The optimization was done according to the criterion of permissible deflection, as well as the allowable level of normal stress. The optimization aimed to reduce the structure's mass as much as possible, thereby contributing to the reduction of the material that would have to be used for the production of the structure.