Engineering Optimization An Introduction with Metaheuristic Applications

Modern optimization techniques are widely applicable to many applications, and metaheuristics form a class of emerging powerful algorithms for optimization. This book introduces state-of-the-art metaheuristic algorithms and their applications in optimization, using both MATLABreg; and Octave allowing readers to visualize, learn, and solve optimization problems. It provides step-by-step explanations of all algorithms, case studies, real-world applications, and detailed references to the latest literature. It is ideal for researchers and professionals in mathematics, industrial engineering, and computer science, as well as students in computer science, engineering optimization, and computer simulation.

XIN-SHE YANG, PhD, is Senior Research Fellow in the Department of Engineering at Cambridge University (United Kingdom). The Editor-in-Chief of International Journal of Mathematical Modeling and Numerical Optimization (IJMMNO), Dr. Yang has published more than sixty journal articles in his areas of research interest, which include computational mathematics, metaheuristic algorithms, numerical analysis, and engineering optimization.