In meta-heuristic algorithms, the problem of parameter tuning is one of the most important
issues that can be highly time consuming. To overcome this difficulty, a number of …

This paper presents an improved multi-objective evolutionary algorithm (IMOEA) for the
design of planar steel frames. By considering constraints as a new objective function, single …

In spite of considerable research work on the development of efficient algorithms for discrete
sizing optimization of steel truss structures, only a few studies have addressed non …

The type of mathematical modeling selected for the optimum design problems of steel
skeletal frames affects the size and mathematical complexity of the programming problem …

In this study, the dandelion optimizer (DO) is examined for the optimum design of structures.
The results of the optimization process show that DO does not have good performance in the …

Meta-heuristic optimization algorithms have attracted many researchers in the last decade.
Adjustment of different parameters of these algorithms is usually a time consuming task …

This study is devoted to discrete sizing optimization of truss structures employing an efficient
discrete evolutionary meta-heuristic algorithm which uses the Newton gradientbased …

Meta-heuristic algorithms are applied in optimization problems in a variety of fields,
including engineering, economics, and computer science. In this paper, seven population …

Optimum design of structural systems based on metaheuristic algorithms suffers from
enormously time-consuming structural analyses to locate a reasonable design. In this paper …

The advent of modern computing technologies paved the way for development of numerous
efficient structural design optimization tools in the recent decades. In the present study sizing …