To advance the field of optimization by creating algorithms and software that serve as enabling technologies across science and engineering
To develop comprehensive and rigorous solutions to important and fundamental problems at the interfaces among the computational, engineering, chemical, and biological sciences
Global optimization
General purpose optimization algorithms and applications across science and engineering.
Optimizing over simulators and experimental systems, where algebraic models and derivatives are unavailable, unreliable, and/or prohibitively expensive.
→
→
