Multi-objective Optimization Techniques in Engineering Applications: Advanced Methods for Solving Complex Engineering Problems
Sobre aquest llibre
Through expertly crafted chapters, this book illuminates the strengths of state-of-the-art metaheuristic algorithms—such as the Harris hawk optimization, whale optimization, gray wolf optimization, sunflower optimization, imperialistic competitive optimization, jaya optimization, thermal exchange optimization, grasshopper optimization, and cuckoo search optimization. These algorithms tackle complex, high-dimensional challenges, giving readers invaluable tools to boost performance and efficiency. Case studies breathe life into these methods, showcasing their adaptability in systems with multiple conflicting objectives.
Readers will find practical MATLAB and GAMS models, enabling immediate experimentation and application. In an era where efficiency and sustainability are paramount, this book equips engineers to solve today’s toughest optimization problems, making it an indispensable resource for those committed to innovation. Whether focused on energy systems, structural design, or computational mechanics, this book serves as a trusted guide to achieving breakthrough solutions across multiple disciplines.
Sobre l'autor
Lagouge K. Tartibu is a Full Professor in the Department of Mechanical Engineering at the University of Johannesburg. He earned his doctorate in Mechanical Engineering with a focus on engineering optimization and thermo-acoustic technology, as well as a master’s degree in Mechanical Engineering specializing in mechanical vibration, both from Cape Peninsula University of Technology. He also holds a bachelor’s degree in Electromechanical Engineering from the University of Lubumbashi. His primary research interests include engineering optimization, thermo-acoustic technology for electricity generation and refrigeration, computational mechanics, engineering design, and artificial intelligence.
