Multi-objective structure optimization is a complex design issue that involves dealing with
multiple conflicting objectives and various constraints. Although metaheuristics have been …

The sine cosine algorithm (SCA) is widely recognized for its efficacy in solving optimization
problems, although it encounters challenges in striking a balance between exploration and …

Metaheuristics have been successfully used for solving complex structural optimization
problems. Many algorithms are proposed for truss structure size and shape optimization …

In this study, the newly developed Marine Predators Algorithm (MPA) is formulated to
minimize the weight of truss structures. MPA is a swarm-based metaheuristic algorithm …

Though the truss optimization with frequency constraints is very complicated due to its high
nonlinear property, the importance and necessity of truss optimization in the real …

Optimising the shape and size of large-scale truss frames is challenging because there is a
nonlinear interaction between cross-sectional and nodal coordinate forces of structures …

In this research, the focus is on addressing the capacitated vehicle routing problem (CVRP),
a prominent logistical challenge within transportation management. The discrete salp swarm …

Truss configuration optimization, involving discrete sizing variables and continuous layout
variables, is crucial for various practical applications. This paper introduces a highly efficient …

The main motivation for the current study is to investigate the weight advantage of the
aluminum material on pin-jointed (truss) structures. For this purpose, optimization algorithms …

The vehicle routing problem (VRP) is a paramount combinatorial optimisation challenge,
extensively used across various transportation logistics and distribution systems. The …