Game theory based evolutionary algorithms: a review with nash applications in structural engineering optimization problems
D Greiner, J Periaux, JM Emperador, B Galván… - … Methods in Engineering, 2017 - Springer
A general review of game-theory based evolutionary algorithms (EAs) is presented in this
study. Nash equilibrium, Stackelberg game and Pareto optimality are considered, as game …
study. Nash equilibrium, Stackelberg game and Pareto optimality are considered, as game …
Accelerated topology optimization by means of deep learning
This study is focused on enhancing the computational efficiency of the solid isotropic
material with penalization (SIMP) approach implemented for solving topology optimization …
material with penalization (SIMP) approach implemented for solving topology optimization …
Metaheuristics in structural optimization and discussions on harmony search algorithm
Metaheuristic algorithms have provided efficient tools to engineering designers by which it
became possible to determine the optimum solutions of engineering design optimization …
became possible to determine the optimum solutions of engineering design optimization …
Advances in computational techniques for bio-inspired cellular materials in the field of biomechanics: Current trends and prospects
Cellular materials have a wide range of applications, including structural optimization and
biomedical applications. Due to their porous topology, which promotes cell adhesion and …
biomedical applications. Due to their porous topology, which promotes cell adhesion and …
A parallel finite-element framework for large-scale gradient-based design optimization of high-performance structures
Structural optimization using gradient-based methods is a powerful design technique that is
well suited for the design of high-performance structures. However, the ever-increasing …
well suited for the design of high-performance structures. However, the ever-increasing …
A hybrid particle swarm—gradient algorithm for global structural optimization
The particle swarm optimization (PSO) method is an instance of a successful application of
the philosophy of bounded rationality and decentralized decision making for solving global …
the philosophy of bounded rationality and decentralized decision making for solving global …
Anisotropic masonry failure criterion using artificial neural networks
In the last decades, a plethora of advanced computational models and techniques have
been proposed on the modeling, assessment and design of masonry structures. The …
been proposed on the modeling, assessment and design of masonry structures. The …
Optimum-pursuing method for constrained optimization and reliability-based design optimization problems using Kriging model
This paper proposes a new active learning method named as optimum-pursuing method
(OPM) from the viewpoint of optimization theory, which aims to provide an effective tool for …
(OPM) from the viewpoint of optimization theory, which aims to provide an effective tool for …
A hybridization of growth optimizer and improved arithmetic optimization algorithm and its application to discrete structural optimization
This paper proposes an improved hybrid growth optimizer (IHGO) to solve discrete structural
optimization problems. The growth optimizer (GO) is a recent metaheuristic that has been …
optimization problems. The growth optimizer (GO) is a recent metaheuristic that has been …
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 …
robotic arm, is a growing field. In order to properly plan a complex tool path, one needs to …