Statistical analyses for multi-objective stochastic optimization algorithms

Author:

Eftimov Tome1,Korošec Peter1

Affiliation:

1. Jožef Stefan Institute, Ljubljana, Slovenia

Funder

Javna Agencija za Raziskovalno Dejavnost RS

Publisher

ACM

Reference20 articles.

1. 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

2. A Novel Approach to statistical comparison of meta-heuristic stochastic optimization algorithms using deep statistics

3. The Behavior of Deep Statistical Comparison Approach for Different Criteria of Comparing Distributions

4. Eftimov , T. , Korošec , P. , & Koroušić Seljak , B. ( 2017 , September). Deep Statistical Comparison Applied on Quality Indicators to Compare Multi-objective Stochastic Optimization Algorithms . In International Workshop on Machine Learning, Optimization, and Big Data (pp. 76--87) . Springer, Cham. Eftimov, T., Korošec, P., & Koroušić Seljak, B. (2017, September). Deep Statistical Comparison Applied on Quality Indicators to Compare Multi-objective Stochastic Optimization Algorithms. In International Workshop on Machine Learning, Optimization, and Big Data (pp. 76--87). Springer, Cham.

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