In this study, the aim is to develop an artificial neural network model by combining the ECBO
meta-heuristic algorithm with the artificial neural network structure to optimize the feed …

In this paper, a novel optimization technique is implemented to explore the effects of
considering uncertain load positions. Therefore, the integration of reliability-based design …

A topology optimization algorithm of steel beams under the influence of elevated
temperature, considering the geometrically nonlinear analysis of imperfect structures, is …

The paper investigates the stress–strain state of a homogeneous rectangular plate after a
temperature shock. It is believed that the plate is the first approximation of the solar panel …

The main reasons for the success of using chaos maps in meta-heuristic algorithms are fast
optimization of non-linear and non-convex problems. One of these cases is the control of the …

By laminating piezoelectric and flexible materials, we can increase their performance.
Therefore, the electrical and mechanical properties of layered piezoelectric materials …

This paper presents an advanced approach for structural topology optimization by
incorporating fatigue crack propagation analysis. The extended finite element method (X …

This article aims to develop a novel approach to non-probabilistic reliability-based multi-
material topology optimization with stress constraints to address the optimization design …

The present work applies meta-heuristic multi-objective particle swarm optimization
(MOPSO) and non-dominated sorting genetic algorithm (NSGA)-II algorithms to predict …

Optimizing a structure's topology involves finding the best possible distribution of material
and connections within a given design space. It has a significant effect on its performance …