Abstract

Chapter 3 discussed basic optimization problem types (LP, QP, IP, MIP, NLP, and MINLP), and their linear, nonlinear, single-objective, multiobjective, deterministic, stochastic, multiprocess and multimodel characteristics. Chapter 4 discusses optimization approaches most used for single-objective, deterministic, LP, QP, IP, MIP, NLP, and MINLP problems. We consider an approach to be the combination of an optimization technique and type. For convenience, we differentiate between terms such as optimization approaches, techniques, types, algorithms, and methods (optimization and systems analysis literature often treats them somewhat interchangeably). Approaches, techniques, and types are commonly referred to as methods.