Title :
Metrics for meta-heuristic algorithm evaluation
Author_Institution :
Coll. of Comput. Sci., Zhejiang Univ., Hangzhou, China
Abstract :
By adopting best practices from quality management in industry, metrics as well as test cycle are proposed to evaluate the performance of meta-heuristic algorithm.
Keywords :
meta data; software metrics; software process improvement; industrial quality management; metaheuristic algorithm evaluation; metrics; stability; Best practices; Control charts; Industrial control; Machine learning algorithms; Manufacturing industries; Pain; Quality management; Stability; Statistics; Testing;
Conference_Titel :
Machine Learning and Cybernetics, 2003 International Conference on
Print_ISBN :
0-7803-8131-9
DOI :
10.1109/ICMLC.2003.1259677
