mlsanityData to 14 Oct 2026

Ten New Benchmarks for Optimization

arXiv 2309.00644 ↗First posted 30 Aug 2023math.OC cs.AI cs.NEcited by 0

Not on the map. Why?

Abstract (arXiv)

Benchmarks are used for testing new optimization algorithms and their variants to evaluate their performance. Most existing benchmarks are smooth functions. This chapter introduces ten new benchmarks with different properties, including noise, discontinuity, parameter estimation and unknown paths.

Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 2 of its 11 references that are in the map. First posted on arXiv 30 Aug 2023.

Builds on

2 of 11 references.

References · 2

  1. 2013A Literature Survey of Benchmark Functions For Global Optimization Problemscited by 77
  2. 2020Nature-Inspired Optimization Algorithms: Challenges and Open Problemscited by 11

Built on by

Not cited yet.