Introduction to the Special Issue on Computational Intelligent Systems for Solving Complex Engineering Problems: Principles and Applications
Danial Jahed Armaghani, Ahmed Salih Mohammed, Ramesh Murlidhar Bhatawdekar, Pouyan Fakharian, Ashutosh Kainthola, Wael Imad Mahmood · Computer Modeling in Engineering & Sciences · 2023
Computational Intelligent (CI) systems represent a pivotal intersection of cutting-edge technologies and complex engineering challenges aimed at solving real-world problems.This comprehensive body of work delves into the realm of CI, which is designed to tackle intricate and multifaceted engineering problems through advanced computational techniques.The history of CI systems is a fascinating journey that spans several decades and has its roots in the development of artificial intelligence and machine learning techniques.Through a wide array of practical examples and case studies, this special issue bridges the gap between theoretical concepts and practical implementation, shedding light on how CI systems can optimize processes, design solutions, and inform decisions in complex engineering landscapes.This compilation stands as an essential resource for both novice learners and seasoned practitioners, offering a holistic perspective on the potential of CI in reshaping the future of engineering problem-solving.Given the growing significance of these systems, the focus of this thematic issue is to provide insights into the utilization of these algorithms/systems for addressing challenges within engineering fields.This collection includes twelve papers, each concisely outlined in the subsequent paragraphs.The strategies employed in these papers hold the potential for careful adaptation by researchers to tackle issues beyond their immediate domain, encompassing various engineering contexts.Given the growing significance of these systems, the focus of this thematic issue is to provide insights into the utilization of these algorithms/systems for addressing challenges within engineering fields.This collection includes twelve papers, each concisely outlined in the subsequent paragraphs.The strategies employed in these papers hold the potential for careful adaptation by researchers to tackle issues beyond their immediate domain, encompassing various engineering contexts.The first paper, titled "Migration Algorithm: A New Human-Based Metaheuristic Approach for Solving Optimization Problems" [1], introduced a novel metaheuristic algorithm, the Migration