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A practical tutorial on the use of nonparametric statistical tests as a methodology for comparing evolutionary and swarm intelligence algorithms.

, , , and . Swarm Evol. Comput., 1 (1): 3-18 (2011)

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Identifying Critical Regions for Motion Planning using Auto-Generated Saliency Labels with Convolutional Neural Networks., , and . CoRR, (2019)Lights and Shadows in Evolutionary Deep Learning: Taxonomy, Critical Methodological Analysis, Cases of Study, Learned Lessons, Recommendations and Challenges., , , , , , , and . CoRR, (2020)Region-based memetic algorithm with archive for multimodal optimisation., , and . Inf. Sci., (2016)A memetic algorithm using local search chaining for black-box optimization benchmarking 2009 for noisy functions., , and . GECCO (Companion), page 2359-2366. ACM, (2009)EvoPruneDeepTL: An evolutionary pruning model for transfer learning based deep neural networks., , , , and . Neural Networks, (January 2023)Time Series Modeling and Forecasting Using Memetic Algorithms for Regime-Switching Models., , , , and . IEEE Trans. Neural Networks Learn. Syst., 23 (11): 1841-1847 (2012)Explainable Artificial Intelligence (XAI): Concepts, Taxonomies, Opportunities and Challenges toward Responsible AI., , , , , , , , , and 2 other author(s). CoRR, (2019)EvoPruneDeepTL: An Evolutionary Pruning Model for Transfer Learning based Deep Neural Networks., , , , and . CoRR, (2022)A test for the homoscedasticity of the residuals in fuzzy rule-based forecasters., , , and . Appl. Intell., 34 (3): 386-393 (2011)A panoramic view and swot analysis of artificial intelligence for achieving the sustainable development goals by 2030: progress and prospects., , , , , , , , , and 4 other author(s). Appl. Intell., 51 (9): 6497-6527 (2021)