Now showing items 1-15 of 15

    Issue DateTitleAuthor(s)
    20 February 2020Automated and Surrogate Multi-Resolution Approaches in Genetic Algorithms  Almutairi, A; Fieldsend, J
    1 July 2017Automatic shape optimisation of the turbine-99 draft tube  Daniels, SJ; Rahat, A; tabor, G; et al.
    12 July 2020Data structures for non-dominated sets: implementations and empirical assessment of two decades of advances  Fieldsend, J
    9 August 2018Data-driven multi-objective optimisation of coal-fired boiler combustion systems  Rahat, AAM; Chunlin, W; Everson, R; et al.
    27 March 2024Decoupled design of experiments for expensive multi-objective optimisation  Binois, M; Branke, J; Fieldsend, J; et al.
    2024Decoupled design of experiments for expensive multi-objective problems  Binois, M; Branke, J; Fieldsend, J; et al.
    14 August 2022Efficient approximation of expected hypervolume improvement using Gauss-Hermite quadrature  Rahat, A; Chugh, T; Fieldsend, J; et al.
    27 March 2024Exploring correlations in multi-objective optimization  Tusar, T; Brockhoff, D; Fieldsend, J; et al.
    9 March 2023Feature-based benchmarking of distance-based multi/many-objective optimisation problems: A machine learning perspective  Liefooghe, A; Verel, S; Chugh, T; et al.
    3 March 2021Large-scale Evolutionary Multi-objective Optimization Assisted by Directed Sampling  Qin, S; Sun, C; Jin, Y; et al.
    20 February 2020A New Initialisation Method for Examination Timetabling Heuristics  Alsuwaylimi, A; Fieldsend, J
    1 September 2023On the Active Use of an ND-Tree-Based Archive for Multi-Objective Optimisation  Fieldsend, J
    1 June 2016Shape optimisation using Computational Fluid Dynamics and Evolutionary Algorithms  Daniels, SJ; Rahat, A; Tabor, G; et al.
    21 August 2018A Suite of Computationally Expensive Shape Optimisation Problems Using Computational Fluid Dynamics  Daniels, S; Rahat, AAM; Everson, R; et al.
    30 June 2020ε-shotgun: ε-greedy batch Bayesian optimisation  De Ath, G; Everson, RM; Fieldsend, J; et al.