A Deep Learning-Driven Black-Box Benchmark Generation Method via Exploratory Landscape Analysis

In the context of algorithm selection, the careful design of benchmark functions and problem instances plays a pivotal role in evaluating the performance of optimization methods. Traditional benchmark functions have been criticized for their limited resemblance to real-world problems and insufficien...

Full description

Bibliographic Details

Published in:	Applied sciences Vol. 15; no. 15; p. 8454
Main Authors:	Liang, Haoming, Zhao, Fuqing, Xu, Tianpeng, Zhang, Jianlin
Format:	Journal Article
Language:	English
Published:	Basel MDPI AG 01.08.2025
Subjects:	algorithm selection problem Algorithms Analysis benchmarking functions Benchmarks black-box optimization Deep learning exploratory landscape analysis Machine learning Methods Neural networks Optimization algorithms Germany
ISSN:	2076-3417, 2076-3417
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!