29 citations · 73 across the 12 of their papers we have counts for
12 papers
Evolutionary Algorithms for Solving Unconstrained, Constrained and Multi-objective Noisy Combinatorial Optimisation Problems
Aishwaryaprajna, Jonathan E. Rowe
We present an empirical study of a range of evolutionary algorithms applied to various noisy combinatorial optimisation problems. There are three sets of experiments. The first loo…
Ordinal Optimisation and the Offline Multiple Noisy Secretary Problem
Robert Chin, Jonathan E. Rowe, Iman Shames +2
We study the success probability for a variant of the secretary problem, with noisy observations and multiple offline selection. Our formulation emulates, and is motivated by, prob…
A Sequential Learning Algorithm for Probabilistically Robust Controller Tuning
Robert Chin, Chris Manzie, Iman Shames +2
We introduce a sequential learning algorithm to address a robust controller tuning problem, which in effect, finds (with high probability) a candidate solution satisfying the inter…
Active Learning for Linear Parameter-Varying System Identification
Robert Chin, Alejandro I. Maass, Nalika Ulapane +5
Active learning is proposed for selection of the next operating points in the design of experiments, for identifying linear parameter-varying systems. We extend existing approaches…
Ordinal Optimisation for the Gaussian Copula Model
Robert Chin, Jonathan E. Rowe, Iman Shames +2
We present results on the estimation and evaluation of success probabilities for ordinal optimisation over uncountable sets (such as subsets of ). Our formulation i…
A Polynomial Time Bounded-error Quantum Algorithm for Boolean Satisfiability
Ahmed Younes, Jonathan E. Rowe
The aim of the paper is to answer a long-standing open problem on the relationship between NP and BQP. The paper shows that BQP contains NP by proposing a BQP quantum algorithm for…