INC491s (691s) : Optimization Techniques in Engineering

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Description

Introduction to Optimization, Mathematical Modeling, Unconstrained Optimization, Discrete Optimization, Genetic Algorithms, Constrained Optimization, Robust Optimization, Dynamic Optimization

Course Syllabus

Course Objectives

  • To teach students basic mathematical and computational tools for optimization techniques in engineering.

  • To train students to familiar with optimization software.

Learning Outcomes

  • Be able to define and use the optimization concept.

  • Be able to apply optimization methods to engineering problems.

  • Understand and apply unconstrained optimization theory to engineering problems.

  • Have the ability to use optimization software.

Core text

  • Joaquim R. R. A. Martins, Andrew Ning, “Engineering Design Optimization},” Cambridge University Press, 2021

  • Alexander Mitsos, “Applied Numerical Optimization},” Lecture Note RWTH AACHEN University

  • Ashok D. Belegundu, Tirupathi R. Chandrupatla, “Optimization Concepts and Applicatins in Engineering,” Cambridge University Press, 2019

Announcements

Midterm Exam

Last Year Final Exam