\(\mathrm{PUBO}_i\): a tunable benchmark with variable importance

DOI10.1007/978-3-031-04148-8_12zbMath1499.90135OpenAlexW4226242749MaRDI QIDQ2163799

Sébastien Verel, Mahmoud Omidvar, Sara Tari

Publication date: 11 August 2022

Full work available at URL: https://doi.org/10.1007/978-3-031-04148-8_12

zbMATH Keywords

Walsh functionfitness landscapebenchmarkvariable importance

Mathematics Subject Classification ID

Approximation methods and heuristics in mathematical programming (90C59) Boolean programming (90C09) Problem solving in the context of artificial intelligence (heuristics, search strategies, etc.) (68T20)

Uses Software

• QAPLIB
• lhs
• DIMACS
• COCO

Cites Work

• Unnamed Item
• A hybrid metaheuristic approach to solving the UBQP problem
• Efficiently embedding QUBO problems on adiabatic quantum computers
• Correlated and uncorrelated fitness landscapes and how to tell the difference
• Mixed effects models and extensions in ecology with R
• QAPLIB - a quadratic assignment problem library
• Polynomial unconstrained binary optimisation -- part 1
• Benchmarks for basic scheduling problems
• COCO: a platform for comparing continuous optimizers in a black-box setting
• Optimization via enumeration: A new algorithm for the max cut problem

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