Due to the fact that multidisciplinary system design optimization is a relatively young field, we know of no single textbook that would entirely capture all the material of this course and be suitable as a classroom text. However, we will use the following recommended textbook to support parts of the course:

Papalambros, Panos Y., and Douglass J. Wilde. *Principles of Optimal Design: Modeling and Computation*. 2nd ed. Cambridge, UK: Cambridge University Press, 2000. ISBN: 9780521627276.

Other texts that relate to the course are:

Vanderplaats, Garret N. *Numerical Optimization Techniques for Engineering Design*. 3rd ed. Colorado Springs, CO: Vanderplaats Research and Development Inc., 2001. ISBN: 9780944956014.

Steuer, Ralph E. *Multiple Criteria Optimization: Theory, Computation and Application*. New York, NY: John Wiley and Sons, Inc., 1986. ISBN: 9780471888468.

Goldberg, David E. *Genetic Algorithms in Search, Optimization and Machine Learning*. Reading, MA: Addison-Wesley, 1989. ISBN: 9780201157673.

Natalia M., Alexandrov, and M. Y., Hussaini, eds. *Multidisciplinary Design Optimization: State of the Art. (Proceedings in Applied Mathematics Series; No. 80)*. Philadelphia, PA: Society for Industrial & Applied Math, 1997. ISBN: 9780898713596.

Owens, Lawrence J., Alvin J. Walsh, and Michael J. Fogel. *Artificial Intelligence Through Simulated Evolution*. New York, NY: John Wiley and Sons, Inc., 1966.

Statnikov, Roman B., and Joseph B. Matusov. *Multicriteria Optimization and Engineering*. New York, NY: Springer-Verlag, 1995. ISBN: 9780412992315.