4 citations · 4 across the 2 of their papers we have counts for
3 papers
A Review of 315 Benchmark and Test Functions for Machine Learning Optimization Algorithms and Metaheuristics with Mathematical and Visual Descriptions
M. Z. Naser, Mohammad Khaled al-Bashiti, Arash Teymori Gharah Tapeh +7
In the rapidly evolving optimization and metaheuristics domains, the efficacy of algorithms is crucially determined by the benchmark (test) functions. While several functions have…
Clustering in Dynamic Environments: A Framework for Benchmark Dataset Generation With Heterogeneous Changes
Danial Yazdani, Juergen Branke, Mohammad Sadegh Khorshidi +4
Clustering in dynamic environments is of increasing importance, with broad applications ranging from real-time data analysis and online unsupervised learning to dynamic facility lo…
GNBG-Generated Test Suite for Box-Constrained Numerical Global Optimization
Amir H. Gandomi, Danial Yazdani, Mohammad Nabi Omidvar +1
This document introduces a set of 24 box-constrained numerical global optimization problem instances, systematically constructed using the Generalized Numerical Benchmark Generator…