Funded by the European Union. Views and opinions expressed are however those of the author(s) only and do not necessarily reflect those of the European Union or the European Education and Culture Executive Agency (EACEA). Neither the European Union nor EACEA can be held responsible for them.

Algorithms

Controlled Random Search

Controlled Random Search is a basic population algorithm for Global Optimization published in 1977 before the populatiry of Genetic Algorithms and the like. It allows a bit of analysis of its convergence behaviour and I have seen many applications for parameter estimation use 30 years ago. This means, it has an easy to understand structure and despite all published variants, its basic engine is quite effecive.

Scientific Area:
MatLab, Python

Language/Environments:
Optimization

Target Group:
Basic


Cite as:
W. L. Price, A controlled random search procedure for global optimisation, The Computer Journal, Volume 20, Issue 4, 1977, Pages 367–370, https://doi.org/10.1093/comjnl/20.4.367

Author of the review:
Eligius Hendrix
University of Malaga


Reviews

You have to login to leave a comment. If you are not registered click here