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 …

Optimization is a branch of mathematics concerned with obtaining the conditions that give
the extreme value of a function, or many functions, under given circumstances. In other …

A Hybrid Big Bang–Big Crunch (HBB–BC) optimization algorithm is employed for optimal
design of truss structures. HBB–BC is compared to Big Bang–Big Crunch (BB–BC) method …

This paper presents a new metaheuristic optimization method, the Search Group Algorithm
(SGA), to deal with the optimization of truss structures. The effectiveness of the SGA is …

This paper presents an efficient single-stage Firefly-based algorithm (FA) to simultaneously
optimise the size, shape and topology of truss structures. The optimisation problem uses the …

This paper presents an optimization algorithm based on Simulated Annealing. The algorithm–
denoted as CMLPSA (Corrected Multi-Level &Multi-Point Simulated Annealing)–implements …

In this paper, we present a review on non-gradient optimization methods with applications to
structural engineering. Due to their versatility, there is a large use of heuristic methods of …

In the real world, we often come across conditions like optimization of more than one
objective functions concurrently which are of conflicting nature and that makes the prospect …

In this paper, an enhanced, memory-assisted version of the multi-verse optimizer (MVO) is
proposed for the shape and size optimization of various types of truss structures. The …

Swarm-based models mimic the collective behavior shown in insects or animals. To date,
several algorithms have been proposed by researchers to solve a wide range of complex …