NOMAD is a C++ code that implements the MADS algorithm (Mesh Adaptive Direct Search) for difficult blackbox optimization problems. Such problems occur when the functions to optimize are costly computer simulations with no derivatives.

Features

  • Blackbox, nonsmooth optimization
  • Nonlinear Constrained optimization
  • Single or biobjective optimization
  • Continuous, integer, boolean and categorical variables
  • Mesh Adaptive Direct Search algorithm
  • Pattern Search
  • Direct Search
  • Parallelism with MPI

Project Samples

Project Activity

See All Activity >

License

GNU Library or Lesser General Public License version 3.0 (LGPLv3)

Follow NOMAD: blackbox optimization software

NOMAD: blackbox optimization software Web Site

Other Useful Business Software
Find out just how much your login box can do for your customer | Auth0 Icon
Find out just how much your login box can do for your customer | Auth0

With over 53 social login options, you can fast-track the signup and login experience for users.

From improving customer experience through seamless sign-on to making MFA as easy as a click of a button – your login box must find the right balance between user convenience, privacy and security.
Sign up
Rate This Project
Login To Rate This Project

User Reviews

Be the first to post a review of NOMAD: blackbox optimization software!

Additional Project Details

Operating Systems

BSD, Linux, Windows

Languages

English

Intended Audience

Aerospace, Engineering, Financial and Insurance Industry, Information Technology, Manufacturing, Science/Research

User Interface

Console/Terminal

Programming Language

C++

Related Categories

C++ Algorithms, C++ Artificial Intelligence Software, C++ Mathematics Software

Registered

2009-11-11