Intelligent Computational Techniques for the Better World 2020: Concepts, Methodologies, Tools, and Applications

Abstract

Over the past few decades, researchers, practitioners are increasingly moving toward the domain of searching, and optimization, by using advanced machine learning concepts based on nature-inspired computation, and metaheuristics, to solve problems spanning across all the spectrums of human endeavor. Evolutionary and nature-inspired techniques have granted us incredible power to solve multi-model and combinatorial problems in a smarter way. Deep learning, a new frontier in AI research, has revolutionized machine learning and related AI talent to next level of constructing algorithms which can make the system intelligent enough to become a better analyzer. These techniques and concepts are inspired from nature and biological behaviors. The intelligent use of these techniques, collectively known as smart techniques, has driven us to solve complex computational problems in areas of diversified domain in an affordable amount of time. Clearly, these smart techniques involve complex processes that are evolving very fast to take over in all spheres of the world affairs. This introductory chapter aims to provide an in-depth study of intelligent computational techniques and its interdisciplinary applications in different domains. To stimulate the future work, we conclude the chapter proposing new possible research directions and outline several open issues.