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.
CITATION STYLE
Jin, Y., Wang, H., & Sun, C. (2021). Introduction to Optimization. In Studies in Computational Intelligence (Vol. 975, pp. 1–40). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-030-74640-7_1
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