This book comprehensively discusses nature-inspired algorithms, deep learning methods, applications of mathematical programming, and Artificial Intelligence techniques. It further covers important topics such as the use of Machine Learning and the Internet of Things and multi-objective optimization under Fermatean hesitant fuzzy and uncertain environment. Data Science has risen as a comprehensive field that utilizes statistical methods, data analysis, and related techniques to comprehend and scrutinize phenomena through data. Sophisticated analytics techniques, inclusive of Machine Learning models, are utilized to derive actionable intelligence or profound understanding from data. This procedure of converting raw data into significant insights is recognized as data-driven decision-making (DDDM). The text is primarily written for graduate students and academic researchers in diverse fields, including operations research, mathematics, statistics, Computer Science, information and communication technology, and industrial engineering.

Optimization and Computing using Intelligent DDDM PDF

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