This book provides a thorough understanding of the concepts of optimization methods from a modern perspective at the conceptual stage of complex technical systems. It focuses on nonlinear optimization with emphasis on methods such as response surface and genetic algorithm, an approach suited for moving the concept of optitnization from an academic setting to the industry platform. Equal importance has been given to classical methods also for making the contents selfsufficient for an undergraduate course.
