Numerical Global Optimization Competition on GNBG-II generated Test Suite
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/
Authors: Rohit Salgotra, Amir H. Gandomi, Kalyanmoy Deb
Published in: Genetic and Evolutionary Computation Conference Companion (GECCO Companion) (2025)