Bat algorithm (BA) is one of the promising metaheuristic algorithms. It proved its efficiency in
dealing with various optimization problems in diverse fields, such as power and energy …

Metaheuristic optimization algorithms (MOAs) are gaining increasing interest because of
their exceptional effectiveness in addressing many optimization issues. Nevertheless, these …

Structural engineering is focused on the safe and efficient design of infrastructure. Projects
can range in size and complexity, many requiring massive amounts of materials and …

Optimization can be defined as an effort of generating solutions to a problem under bounded
circumstances. Optimization methods have arisen from a desire to utilize existing resources …

Abstract Soil Organic Carbon (SOC) content is a key element for soil fertility and productivity,
nutrient availability and potentially represents a measurement of the sink for greenhouse …

Bat algorithm (BA) is a population-based metaheuristic algorithm inspired by echolocation
behavior of bat. After the development of BA in 2010, it becomes the attention of researchers …

In this study, the performances of eight recent swarm intelligence techniques, accelerated
particle swarm optimization (APSO), firefly algorithm, levy-flight krill herd, whale optimization …

Buckling-restrained braces (BRBs) emerged to improve the seismic performance of high-rise
structures as compared to the ordinary diagonal bracing. In this paper, the seismic …

Optimization methods using metaheuristic algorithms have been widely used in steel frame
design to improve the inefficient traditional design method due to repeated model tuning and …

The present paper tackles the problem of seismic performance-based layout optimization of
steel braced frames subject to earthquake loading. Design variables of the optimization …