activity
20222024
most citedPenalty Weights in QUBO Formulations: Permutation Problems

54 citations · 81 across the 6 of their papers we have counts for

collaborators

6 papers

quant-ph2024★ 2 cited

Utilising a Quantum Hybrid Solver for Bi-objective Quadratic Assignment Problems

Mayowa Ayodele

The intersection between quantum computing and optimisation has been an area of interest in recent years. There have been numerous studies exploring the application of quantum and…

cs.AI2023★ 6 cited

Applying Ising Machines to Multi-objective QUBOs

Mayowa Ayodele, Richard Allmendinger, Manuel López-Ibáñez +2

Multi-objective optimisation problems involve finding solutions with varying trade-offs between multiple and often conflicting objectives. Ising machines are physical devices that…

cs.AI2022★ 2 cited

A Study of Scalarisation Techniques for Multi-Objective QUBO Solving

Mayowa Ayodele, Richard Allmendinger, Manuel López-Ibáñez +1

In recent years, there has been significant research interest in solving Quadratic Unconstrained Binary Optimisation (QUBO) problems. Physics-inspired optimisation algorithms have…

math.OC2022★ 54 cited

Penalty Weights in QUBO Formulations: Permutation Problems

Mayowa Ayodele

Optimisation algorithms designed to work on quantum computers or other specialised hardware have been of research interest in recent years. Many of these solver can only optimise p…

cs.AI2022★ 13 cited

Multi-objective QUBO Solver: Bi-objective Quadratic Assignment

Mayowa Ayodele, Richard Allmendinger, Manuel López-Ibáñez +1

Quantum and quantum-inspired optimisation algorithms are designed to solve problems represented in binary, quadratic and unconstrained form. Combinatorial optimisation problems are…

cs.NE2022★ 4 cited

Comparing the Digital Annealer with Classical Evolutionary Algorithm

Mayowa Ayodele

In more recent years, there has been increasing research interest in exploiting the use of application specific hardware for solving optimisation problems. Examples of solvers that…