Recent Trends in the Use of Statistical Tests for Comparing Swarm and
Evolutionary Computing Algorithms: Practical Guidelines and a Critical Review

Recent Trends in the Use of Statistical Tests for Comparing Swarm and Evolutionary Computing Algorithms: Practical Guidelines and a Critical Review

21 February 2020

Jacinto Carrasco

Francisco Herrera

Papers citing "Recent Trends in the Use of Statistical Tests for Comparing Swarm and Evolutionary Computing Algorithms: Practical Guidelines and a Critical Review"

17 / 17 papers shown

Title
HRA: A Multi-Criteria Framework for Ranking Metaheuristic Optimization Algorithms Evgenia-Maria K. Goula Dimitris G. Sotiropoulos 18 0 0 18 Sep 2024
Absolute Ranking: An Essential Normalization for Benchmarking Optimization Algorithms Yunpeng Jinng Qunfeng Liu 20 0 0 06 Sep 2024
Semi-supervised Clustering with Two Types of Background Knowledge: Fusing Pairwise Constraints and Monotonicity Constraints Germán González-Almagro Juan-Luis Suárez Pablo Sánchez-Bermejo J. Cano Salvador García 8 4 0 25 Feb 2023
Performance assessment and exhaustive listing of 500+ nature inspired metaheuristic algorithms Zhongqiang Ma Guohua Wu Ponnuthurai Nagaratnam Suganthan Aijuan Song Qizhang Luo 25 118 0 19 Dec 2022
Prasatul Matrix: A Direct Comparison Approach for Analyzing Evolutionary Optimization Algorithms A. Biswas 13 1 0 01 Dec 2022
A Metaheuristic Approach for Mining Gradual Patterns D. Owuor Thomas Runkler Anne Laurent AI4CE 10 4 0 15 Nov 2022
Development of Interpretable Machine Learning Models to Detect Arrhythmia based on ECG Data Shourya Verma FAtt 10 3 0 05 May 2022
Random vector functional link network: recent developments, applications, and future directions Anil Kumar Malik Ruobin Gao M. A. Ganaie M. Tanveer Ponnuthurai Nagaratnam Suganthan 24 105 0 13 Feb 2022
Simulated annealing for optimization of graphs and sequences Xianggen Liu Pengyong Li Fandong Meng Hao Zhou Huasong Zhong Jie Zhou Lili Mou Sen Song 49 19 0 01 Oct 2021
How to avoid machine learning pitfalls: a guide for academic researchers M. Lones VLM FaML OnRL 62 76 0 05 Aug 2021
Scalable Feature Subset Selection for Big Data using Parallel Hybrid Evolutionary Algorithm based Wrapper in Apache Spark Yelleti Vivek V. Ravi Pisipati Radhakrishna 13 10 0 26 Jun 2021
Anomaly Detection in Predictive Maintenance: A New Evaluation Framework for Temporal Unsupervised Anomaly Detection Algorithms Jacinto Carrasco I. Markova D. López Ignacio Aguilera D. García Marta García-Barzana Manuel Arias-Rodil Julián Luengo Francisco Herrera AI4TS 30 32 0 26 May 2021
A bi-level encoding scheme for the clustered shortest-path tree problem in multifactorial optimization H. Binh T. Thang N. D. Thai Pham Dinh Thanh 15 13 0 12 Feb 2021
Evolutionary Multitask Optimization: a Methodological Overview, Challenges and Future Research Directions E. Osaba Aritz D. Martinez Javier Del Ser 20 59 0 04 Feb 2021
Evolutionary Algorithm and Multifactorial Evolutionary Algorithm on Clustered Shortest-Path Tree problem Phan Thi Hong Hanh Pham Dinh Thanh H. Binh 10 26 0 19 Oct 2020
Lights and Shadows in Evolutionary Deep Learning: Taxonomy, Critical Methodological Analysis, Cases of Study, Learned Lessons, Recommendations and Challenges Aritz D. Martinez Javier Del Ser Esther Villar-Rodriguez E. Osaba Javier Poyatos Siham Tabik Daniel Molina Francisco Herrera 35 26 0 09 Aug 2020
Fairness in Bio-inspired Optimization Research: A Prescription of Methodological Guidelines for Comparing Meta-heuristics A. Latorre Daniel Molina E. Osaba Javier Del Ser Francisco Herrera 17 18 0 19 Apr 2020