Abstract: This chapter introduces the fundamentals of optimization, including the mathematical formulation of an optimization problem, convexity and types of optimization problems, single- and multi-objective optimization, and other important aspects of optimization such as robust optimization and dynamic optimization. Robustness optimization over time, a recently proposed concept in handling uncertainty, will also be discussed. Performance indicators for evaluating the quality of solutions and performance of optimization algorithms are described. A number of illustrative and real-world optimization problems are provided as examples in explaining the concepts and definitions.
Publication Year: 2021
Publication Date: 2021-01-01
Language: en
Type: book-chapter
Indexed In: ['crossref']
Access and Citation
Cited By Count: 45
AI Researcher Chatbot
Get quick answers to your questions about the article from our AI researcher chatbot