The mosaic of metaheuristic algorithms in structural optimization

ND Lagaros, V Plevris, NA Kallioras - Archives of Computational Methods …, 2022 - Springer
Metaheuristic optimization algorithms (MOAs) represent powerful tools for dealing with multi-
modal nonlinear optimization problems. The considerable attention that MOAs have …

Designing complex architectured materials with generative adversarial networks

Y Mao, Q He, X Zhao - Science advances, 2020 - science.org
Architectured materials on length scales from nanometers to meters are desirable for diverse
applications. Recent advances in additive manufacturing have made mass production of …

Structural optimization using evolution strategies and neural networks

M Papadrakakis, ND Lagaros… - Computer methods in …, 1998 - Elsevier
The objective of this paper is to investigate the efficiency of combinatorial optimization
methods, in particular algorithms based on evolution strategies (ES) when incorporated into …

Structural optimization using evolutionary algorithms

ND Lagaros, M Papadrakakis, G Kokossalakis - Computers & structures, 2002 - Elsevier
The objective of this paper is to investigate the efficiency of various evolutionary algorithms
(EA), such as genetic algorithms and evolution strategies, when applied to large-scale …

A machine-learning framework for rapid adaptive digital-twin based fire-propagation simulation in complex environments

TI Zohdi - Computer Methods in Applied Mechanics and …, 2020 - Elsevier
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 …

Adaptive evolution strategies in structural optimization: Enhancing their computational performance with applications to large-scale structures

O Hasançebi - Computers & structures, 2008 - Elsevier
In this study the computational performance of adaptive evolution strategies (ESs) in large-
scale structural optimization is mainly investigated to achieve the following objectives:(i) to …

Simultaneous topology, shape and size optimization of truss structures by fully stressed design based on evolution strategy

A Ahrari, AA Atai, K Deb - Engineering Optimization, 2015 - Taylor & Francis
The most effective scheme of truss optimization considers the combined effect of topology,
shape and size (TSS); however, most available studies on truss optimization by …

The Game of Drones: rapid agent-based machine-learning models for multi-UAV path planning

TI Zohdi - Computational Mechanics, 2020 - Springer
The goal of this article is to provide basic modeling and simulation techniques for systems of
multiple interacting Unmanned Aerial Vehicles, so called “swarms”, for applications in …

A cascade optimization methodology for automatic parameter identification and shape/process optimization in metal forming simulation

JP Ponthot, JP Kleinermann - Computer methods in applied mechanics …, 2006 - Elsevier
Computer simulations of metal forming processes using the finite element method (FEM)
are, today, well established. This form of simulation uses an increasing number of …

Dynamic thermomechanical modeling and simulation of the design of rapid free-form 3D printing processes with evolutionary machine learning

TI Zohdi - Computer Methods in Applied Mechanics and …, 2018 - Elsevier
Rapid free-form printing of heated polymeric materials, whereby an extruder is attached to a
robotic arm, is a growing field. In order to properly plan a complex tool path, one needs to …