About: Computational methods in applied sciences is an academic journal published by Springer Nature (Netherlands). The journal publishes majorly in the area(s): Computer science & Transonic. It has an ISSN identifier of 1871-3033. Over the lifetime, 3 publications have been published receiving 4 citations.
TL;DR: In the cyber world, the most important threat focuses on critical infrastructure (CI) as mentioned in this paper , which encompasses the structures and functions that are vital to society's uninterrupted functioning, including physical facilities and structures as well as electronic functions and services.
Abstract: In the cyber world, the most important threat focuses on critical infrastructure (CI). CI encompasses the structures and functions that are vital to society’s uninterrupted functioning. It comprises physical facilities and structures as well as electronic functions and services. Critical infrastructure systems comprise a heterogeneous mixture of dynamic, interactive, and non-linear elements. In recent years, attacks against critical infrastructures, critical information infrastructures and the Internet have become ever more frequent, complex and targeted because perpetrators have become more professional. Attackers can inflict damage or disrupt on physical infrastructure by infiltrating the digital systems that control physical processes, damaging specialized equipment and disrupting vital services without a physical attack. Those threats continue to evolve in complexity and sophistication.
TL;DR: The third paradigm of science complementing traditional experimental and theoretical approaches is the scientific computing paradigm as mentioned in this paper , which is the paradigm of the third paradigm in science complement the traditional experimental approach.
Abstract: Scientific computing is the third paradigm of science complementing traditional experimental and theoretical approaches.
TL;DR: A review of the major improvements in efficiency and quality of evolutionary multi-objective and multi-disciplinary design optimization techniques achieved during 1994-2021 can be found in this article .
Abstract: This article reviews the major improvements in efficiency and quality of evolutionary multi-objective and multi-disciplinary design optimization techniques achieved during 1994–2021. At first, we introduce briefly Evolutionary Algorithms (EAs) of increasing complexity as accelerated optimizers. After that, we introduce the hybridization of EAs with game strategies to gain higher efficiency. We review a series of papers where this technique is considered an accelerator of multi-objective optimizers and benchmarked on simple mathematical functions and simple aeronautical model optimization problems using friendly design frameworks. Results from numerical examples from real-life design applications related to aeronautics and civil engineering, with the chronologically improved EAs models and hybridized game EAs, are listed and briefly summarized and discussed. This article aims to provide young scientists and engineers a review of the development of numerical optimization methods and results in the field of EA-based design optimization, which can be further improved by, e.g., tools of artificial intelligence and machine learning.