TY  - CHAP
AU  - Jonah Lissner
ED  - Muhammad Sarfraz
ED  - Samsul Ariffin Abdul Karim
Y1  - 2021-03-08
PY  - 2021
T1  - Atomistic Mathematical Theory for Metaheuristic Structures of Global Optimization Algorithms in Evolutionary Machine Learning for Power Systems
N2  - Computational optimization is an active and important area of study, practice, and research today. It covers a wide range of applications in engineering, science, and industry. It provides solutions to a variety of real-life problems in the fields of health, business, government, military, politics, security, education, and many more. This book compiles original and innovative findings on all aspects of computational optimization. It presents various examples of optimization including cost, energy, profits, outputs, performance, and efficiency. It also discusses different types of optimization problems like nonlinearity, multimodality, discontinuity, and uncertainty. Over thirteen chapters, the book provides researchers, practitioners, academicians, military professionals, government officials, and other industry professionals with an in-depth discussion of the latest advances in the field.
BT  - Computational Optimization Techniques and Applications
SP  - Ch. 9
UR  - https://doi.org/10.5772/intechopen.96516
DO  - 10.5772/intechopen.96516
SN  - 978-1-83968-766-2
PB  - IntechOpen
CY  - Rijeka
Y2  - 2024-04-16
ER  -