Title :
Reactive Search and Intelligent Optimization (Battiti, R., et al.; 2008) [Book Review]
Author_Institution :
University of Essex, UK
Abstract :
A heuristic can have a certain number of control parameters. Since the setting of these parameters is often of crucial importance to the performance of the heuristic, much effort has been made to study how to tune these parameters. Perhaps the most popular approach is to tune them manually by trial and error. Such an approach requires algorithmic expertise and domain knowledge which an end-user might not have.
Keywords :
Automatic control; Book reviews; Competitive intelligence; Computational intelligence; Electron tubes; Machine learning; Operations research; Search methods; Simulated annealing; Supervised learning;
Journal_Title :
Computational Intelligence Magazine, IEEE
DOI :
10.1109/MCI.2009.935312
