DSCTool: A web-service-based framework for statistical comparison of stochastic optimization algorithms

Author:

Eftimov TomeORCID,Petelin Gašper,Korošec Peter

Funder

European Cooperation in Science and Technology

Javna Agencija za Raziskovalno Dejavnost RS

Publisher

Elsevier BV

Subject

Software

Reference39 articles.

1. Benchmarking evolutionary algorithms: Towards exploratory landscape analysis;Mersmann,2010

2. Testing Statistical Hypotheses;Lehmann,2006

3. A study on the use of non-parametric tests for analyzing the evolutionary algorithms’ behaviour: a case study on the cec’2005 special session on real parameter optimization;García;J. Heuristics,2009

4. T. Eftimov, P. Korošec, B.K. Seljak, Disadvantages of statistical comparison of stochastic optimization algorithms, in: Proceedings of the Bioinspired Optimizaiton Methods and their Applications, BIOMA, 2016, pp. 105–118.

5. A novel approach to statistical comparison of meta-heuristic stochastic optimization algorithms using deep statistics;Eftimov;Inform. Sci.,2017

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