Numerical Global Optimization Competition on GNBG-II generated Test Suite

This paper presents an extended abstract for our competition on GNBG-II. For GECCO 2025 competitions, we introduce GNBG-II consisting of 24 box-constrained problem instances derived from the Global Numerical Benchmark Generator (GNBG), providing a diverse and challenging test suite for optimization algorithms. Although the core design of GNBG-II remains the same as in the 2024 competitions, the current version introduces additional complexities to further increase the difficulty of the benchmark problems. We invite authors to test and evaluate their algorithms on GNBG-II, the details are available at: https://dsmlossf.github.io/GNBG-Competition-2025/

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Publication Details

Journal
Proceedings of the Genetic and Evolutionary Computation Conference Companion
Published
2025-07-14
DOI
https://doi.org/10.1145/3712255.3734271
Citations
1
Primary Topic
Numerical Methods and Algorithms
Type
article
Field-Weighted Citation Impact
2.18
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article

Numerical Global Optimization Competition on GNBG-II generated Test Suite

Amir H. Gandomi, Rohit Salgotra, Kalyanmoy Deb
1 citations
Proceedings of the Genetic and Evolutionary Computation Conference Companion
Numerical Methods and Algorithms
2.18
article

Numerical Global Optimization Competition on GNBG-II generated Test Suite

Amir H. Gandomi, Rohit Salgotra, Kalyanmoy Deb
article en
1 citations

Abstract

This paper presents an extended abstract for our competition on GNBG-II. For GECCO 2025 competitions, we introduce GNBG-II consisting of 24 box-constrained problem instances derived from the Global Numerical Benchmark Generator (GNBG), providing a diverse and challenging test suite for optimization algorithms. Although the core design of GNBG-II remains the same as in the 2024 competitions, the current version introduces additional complexities to further increase the difficulty of the benchmark problems. We invite authors to test and evaluate their algorithms on GNBG-II, the details are available at: https://dsmlossf.github.io/GNBG-Competition-2025/

Proceedings of the Genetic and Evolutionary Computation Conference Companion
University of Technology Sydney (AU), Jagiellonian University (PL), AGH University of Krakow (PL), Michigan State University (US)
Openalex Percentile: Top 16%
Numerical Methods and Algorithms
2.18
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