Dear colleagues, We are pleased to announce GNBG-III, the next edition of the Generalized Numerical Benchmark Generator (GNBG) competition, inviting researchers to evaluate global optimization algorithms on a rigorously designed benchmark suite.
GNBG-III features 24 property-aware and computationally challenging problem instances, specifically created to expose algorithm behavior under controlled structural conditions—making it ideal for deep comparative and analytical studies in optimization.
This competition is well-suited for researchers working on:
Evolutionary and swarm-based algorithms
Metaheuristics and hybrid optimization methods
Benchmarking and performance analysis
Structure-aware and property-driven optimization
Submission Venues & Deadlines
IEEE WCCI 2026 (Full Paper)
Website: https://attend.ieee.org/wcci-2026/
Deadline: 31 January 2026 (23:59 AoE – strict)
GECCO 2026
Website: https://gecco2026.sigevo.org/HomePage
Abstract: 19 January 2026
Full Paper: 26 January 2026
Abstract + Results only
Submission Deadline
31 March 2026 (strict)
Competition website: https://dsmlossf.github.io/GNBG-Competition-2026/
Submissions: dsmlossf@gmail.com
General Queries: rohits@agh.edu.pl; and gandomi@uts.edu.au
We Rohit Salgotra, Kalyanmoy Deb and Amir H Gandomi warmly invite the optimization community to participate and contribute insights into algorithm behavior on next-generation numerical benchmarks.