Table of Content

Meta-heuristic Algorithms in Materials Science and Engineering

Submission Deadline: 31 December 2023 Submit to Special Issue

Guest Editors

Prof. Dr. Panagiotis G. Asteris, School of Pedagogical and Technological Education, Greece
Dr. Ahmed Salih Mohammed, University of Sulaimani, Iraq


During the last three decades, nonconventional methods are becoming an important class of efficient tools providing solutions to complicated engineering problems. Among these methods, soft computing has to be mentioned as one of the most eminent approaches. Neural networks (NNs), fuzzy logic, and evolutionary and classifications algorithms are the most popular soft-computing techniques.

The focus of this Special Issue is on nondeterministic computational methods for the modeling of structural engineering and materials problems. Articles submitted to this Special Issue can also be concerned about the most significant recent developments in computational methods and their applications in structural engineering and materials problems. We invite researchers to contribute original research articles as well as review articles that will stimulate the continuing research effort on applications of the soft computing approaches to model structural engineering and materials problems.


1.Artificial neural networks (ANNs)
2.Computational biology/bioinformatics
3.Computational science and engineering
4.Evolutionary multimodal optimization
5.Forecasting models
6.Fuzzy set theory and hybrid fuzzy models
7.Genetic algorithm and genetic programming
8.Heuristic models
9.Hybrid intelligent systems
10.Image processing and computer vision
11.Machine learning techniques
12.Multicriteria decision making (MCDM)
13.Multiexpression programming
14.Multivariate adaptive regression splines (MARS)
15.Neural networks and deep neural networks
16.Optimization algorithms [structural optimization; topology optimization]
17.Neural networks, support vector machines
18.Fuzzy logic and fuzzy systems
19.Structural design, diagnostics, and health monitoring
20.Modeling of mechanical properties of structural materials

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