The Algorithm Design Manual
About the Book
Programming Challenges

The Stony Brook Algorithm Repository

Steven Skiena
Stony Brook University
Dept. of Computer Science

Adaptive Simulated Annealing

Adaptive Simulated Annealing (ASA) is a C language package which provides the framework and mechanisms for optimization of complex systems using simulated annealing. Users may incorporate these routines into existing C programs, or build applications from the sample ASA applications. Most parameters are user-definable -- allowing for highly customizable optimization algorithms.

The code is maintained by Lester Ingber.

  • Download Files (local site)
  • Lester Ingber's Archive
  • Download ASA files (

    Problem Links

    Constrained and Unconstrained Optimization (5)

    This page last modified on 2008-07-10 .