13 citations · 22 across the 5 of their papers we have counts for
11 papers
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…
The Asteroid Routing Problem: A Benchmark for Expensive Black-Box Permutation Optimization
Manuel López-Ibáñez, Francisco Chicano, Rodrigo Gil-Merino
Inspired by the recent 11th Global Trajectory Optimisation Competition, this paper presents the asteroid routing problem (ARP) as a realistic benchmark of algorithms for expensive…
Are Evolutionary Algorithms Safe Optimizers?
Youngmin Kim, Richard Allmendinger, Manuel López-Ibáñez
We consider a type of constrained optimization problem, where the violation of a constraint leads to an irrevocable loss, such as breakage of a valuable experimental resource/platf…
The First AI4TSP Competition: Learning to Solve Stochastic Routing Problems
Laurens Bliek, Paulo da Costa, Reza Refaei Afshar +19
This paper reports on the first international competition on AI for the traveling salesman problem (TSP) at the International Joint Conference on Artificial Intelligence 2021 (IJCA…
Managing Manufacturing and Delivery of Personalised Medicine: Current and Future Models
Andreea Avramescu, Richard Allmendinger, Manuel López-Ibáñez
With almost 50% of annual commercial drug approvals being Personalised Medicine (PM) and its huge potential to improve quality of life, this emerging medical sector has received in…
Implications of the Muon g-2 result on the flavour structure of the lepton mass matrix
Lorenzo Calibbi, M. L. López-Ibáñez, Aurora Melis +1
The confirmation of the discrepancy with the Standard Model predictions in the anomalous magnetic moment by the Muon g-2 experiment at Fermilab points to a low scale of new physics…