Although civil engineering problems are often characterized by significant levels of
complexity, they are generally approached and solved by combining several practitioners' …

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 …

The main goal of the structural optimization is to minimize the weight of structures while
satisfying all design requirements imposed by design codes. In this paper, the Artificial Bee …

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 …

Nowadays, optimization problems are solved through meta-heuristic algorithms based on
stochastic search approaches borrowed from mimicking natural phenomena …

The increased application of Information and Communications Technology in automation
and digitization is the driving concept towards the actualization of the Industrial Revolution …

With an emphasis on real-world problems, this book reviews the basics of optimization of
frame structures such as trusses, building frames, and long-span trusses. It introduces …

Here we report a design approach for optimizing the toughness of nanocomposite materials
using artificial intelligence (AI), implemented in a novel'AutoComp Designer'algorithm. The …

Abstract Particle Swarm Optimization (PSO) is a powerful nature-inspired metaheuristic
optimization method. Compared to other methods, PSO can determine the optimal solution …

The objective of this work is to illustrate how to algorithmically integrate Machine-Learning
Algorithms (MLA's) with multistage/multicomponent fire spread models. In order to tangibly …