Szczegóły publikacji
Opis bibliograficzny
A GNBG-inspired multi-component benchmark suite with controlled difficulty axes for the IOH BenchDesign Challenge / Rohit SALGOTRA, Kalyanmoy Deb, Amir H. Gandomi // W: GECCO'26 Companion [Dokument elektroniczny] : proceedings of the 2026 Genetic and Evolutionary Computation Conference : San Jose, Costa Rica, July 13–17, 2026 / eds. Leonardo Trujillo, Ting Hu. — Wersja do Windows. — Dane tekstowe. — New York : Association for Computing Machinery, cop. 2026. — e-ISBN: 979-8-4007-2488-6. — S. 15–16. — Wymagania systemowe: Adobe Reader. — Bibliogr. s. 16, Abstr. — Publikacja dostępna online od: 2026-08-13
Autorzy (3)
- AGHSalgotra Rohit
- Deb Kalyanmoy
- Gandomi Amir H.
Słowa kluczowe
Dane bibliometryczne
| ID BaDAP | 169997 |
|---|---|
| Data dodania do BaDAP | 2026-09-29 |
| Tekst źródłowy | URL |
| DOI | 10.1145/3795101.3815554 |
| Rok publikacji | 2026 |
| Typ publikacji | materiały konferencyjne (aut.) |
| Otwarty dostęp |  |
| Creative Commons | |
| Wydawca | Association for Computing Machinery (ACM) |
| Konferencja | Genetic and Evolutionary Computations 2026 |
Abstract
We submit a deterministic, scalable suite of 25 continuous benchmark problems for the Benchmark Design Challenge. The suite is designed to maximize performance diversity among five reference solvers (CMA-ES, Differential Evolution, Particle Swarm Optimization, BFGS with restarts, and COBYLA) under a fixed evaluation budget. Each problem is defined as the minimum over multiple transformed quadratic components (basins). Diversity is created by systematically varying interaction structure, conditioning spectra and patterns, GNBG-style oscillatory warping and asymmetry, and basin overlap/sharpness to induce deceptive landscapes.
