Results 181 to 190 of about 1,190 (203)

Quantum computing for several AGV scheduling models. [PDF]

open access: yesSci Rep
Tang L, Yang C, Wen K, Wu W, Guo Y.
europepmc   +1 more source

Multi-objective QUBO solver

Proceedings of the Genetic and Evolutionary Computation Conference, 2022
Quantum and quantum-inspired optimisation algorithms are designed to solve problems represented in binary, quadratic and unconstrained form. Combinatorial optimisation problems are therefore often formulated as Quadratic Unconstrained Binary Optimisation Problems (QUBO) to solve them with these algorithms.
Ayodele, Mayowa   +3 more
openaire   +2 more sources

Solving QUBO with GPU parallel MOPSO

Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2021
The Quadratic Unconstrained Binary Optimization problem (QUBO) is an NP-hard optimization problem. QUBO can be reduced from many other combinatorial optimization problems. Hence, if we can solve QUBO, we can also solve many other problems. The paper proposes a novel method to solve QUBO by reducing it into the Bi-objective Bound-constrained Continuous ...
Noriyuki Fujimoto, Kouki Nanai
openaire   +1 more source

QUBO formulation for aircraft load optimization

Quantum Information Processing
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Gatti, Laura   +5 more
openaire   +2 more sources

QUBO Software

2022
Brad D. Woods   +2 more
openaire   +1 more source

HUBO & QUBO and Prime Factorization

International Journal of Bioinformatics and Intelligent Computing
This document details the methodology and steps taken to convert Higher Order Unconstrained Binary Optimization (HUBO) models into Quadratic Unconstrained Binary Optimization (QUBO) models. The focus is primarily on prime factorization problems; a critical and computationally intensive task relevant in various domains including cryptography ...
Samer Rahmeh, Adam Neumann
openaire   +1 more source

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