The modeling and simulation of structural systems is a task that requires high precision and
reliable results to ensure the stability and safety of construction projects of all kinds. For …

In this review paper, we computationally analyze a vast volume of published articles in the
field of Adaptive Learning, as obtained by the Scopus Database. Particularly, we use a …

Incorporating waste material, such as recycled coarse aggregate concrete (RCAC), into
construction material can reduce environmental pollution. It is also well-known that the …

Data-driven models utilizing powerful artificial intelligence (AI) algorithms have been
implemented over the past two decades in different fields of simulation-based engineering …

A collection of thirty mathematical functions that can be used for optimization purposes is
presented and investigated in detail. The functions are defined in multiple dimensions, for …

Cellular automata (CA) are discrete dynamical systems that can give rise to complex
behaviors under certain conditions. Its operation is based on simple local interactions …

We live in a world where waves of novel nature-inspired metaheuristic algorithms keep
hitting the shore repeatedly. This never-ending surge of new metaheuristic algorithms is …

We propose a modification of the pure random search algorithm for cases when the global
optimum point can be located near the boundary of a feasible region. If the feasible region is …

This work presents a new global optimization algorithm of functions inspired by the dynamic
behavior of reversible cellular automata, denominated Reversible Elementary Cellular …

In this paper, the behavior and performance of Pure Random Orthogonal Search (PROS), a
parameter-free evolutionary algorithm (EA) that outperforms many existing EAs on the well …