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D-Index & Metrics

Computer Science

D-Index
65
Citations
25450
World Ranking
2403
National Ranking
134

Overview

Joshua Knowles is affiliated with the University of Manchester in the United Kingdom. Their research primarily focuses on Computer Science, with significant contributions to Engineering. Within these fields, Knowles has specialized in Artificial Intelligence, Computational Theory and Mathematics, Industrial and Manufacturing Engineering, Control and Systems Engineering, and Computer Networks and Communications.

Knowles's work covers several main topics, including Advanced Multi-Objective Optimization Algorithms, Metaheuristic Optimization Algorithms Research, Evolutionary Algorithms and Applications, Process Optimization and Integration, Machine Learning and Algorithms, Evolutionary Game Theory and Cooperation, and Complex Systems and Time Series Analysis.

Their recent publications include:

  • Evolutionary Multiobjective Optimization (EMO), 2024, Proceedings of the Genetic and Evolutionary Computation Conference Companion
  • On Benchmarking Interactive Evolutionary Multiobjective Algorithms, 2023, IEEE Transactions on Evolutionary Computation
  • Deep Optimisation: Transitioning the Scale of Evolutionary Search by Inducing and Searching in Deep Representations, 2022, SN Computer Science
  • Heterogeneous Objectives: State-of-the-Art and Future Research, 2021, arXiv (Cornell University)
  • Realistic utility functions prove difficult for state-of-the-art interactive multiobjective optimization algorithms, 2021, Proceedings of the Genetic and Evolutionary Computation Conference

Joshua Knowles has frequently collaborated with authors such as Richard Allmendinger, Manuel López-Ibáñez, Seyed Mahdi Shavarani, Ștefan Pricopie, and Clyde Fare.

Their work has been published in various venues, reflecting a consistent presence in specific conferences and journals. These venues include:

  • Proceedings of the Genetic and Evolutionary Computation Conference Companion
  • arXiv (Cornell University)
  • Proceedings of the Genetic and Evolutionary Computation Conference
  • SN Computer Science
  • IEEE Transactions on Evolutionary Computation

Best Publications

  • Approximating the Nondominated Front Using the Pareto Archived Evolution Strategy

    Joshua D. Knowles;David W. Corne

  • The Pareto archived evolution strategy: a new baseline algorithm for Pareto multiobjective optimisation

    J. Knowles;D. Corne

  • A Tutorial on the Performance Assessment of Stochastic Multiobjective Optimizers

    Joshua Knowles;Lothar Thiele;Eckart Zitzler

  • ParEGO: a hybrid algorithm with on-line landscape approximation for expensive multiobjective optimization problems

    J. Knowles

  • The Pareto Envelope-Based Selection Algorithm for Multi-objective Optimisation

    David Corne;Joshua D. Knowles;Martin J. Oates

  • PESA-II: region-based selection in evolutionary multiobjective optimization

    David W. Corne;Nick R. Jerram;Joshua D. Knowles;Martin J. Oates

  • Computational cluster validation in post-genomic data analysis

    Julia Handl;Joshua Knowles;Douglas B. Kell

  • An Evolutionary Approach to Multiobjective Clustering

    J. Handl;J. Knowles

  • On metrics for comparing nondominated sets

    J. Knowles;D. Corne

  • M-PAES: a memetic algorithm for multiobjective optimization

    J.D. Knowles;D.W. Corne

  • Reducing Local Optima in Single-Objective Problems by Multi-objectivization

    Joshua D. Knowles;Richard A. Watson;David Corne

  • A MAX-MIN Ant System for the University Course Timetabling Problem

    Krzysztof Socha;Joshua Knowles;Michael Sampels

  • Properties of an adaptive archiving algorithm for storing nondominated vectors

    J. Knowles;D. Corne

  • Quality Assessment of Pareto Set Approximations

    Eckart Zitzler;Joshua Knowles;Lothar Thiele

  • Techniques for highly multiobjective optimisation: some nondominated points are better than others

    David W. Corne;Joshua D. Knowles

  • Multiobjective Optimization in Bioinformatics and Computational Biology

    Julia Handl;Douglas B. Kell;Joshua Knowles

  • A comparison of the performance of different metaheuristics on the timetabling problem

    Olivia Rossi-Doria;Michael Sampels;Mauro Birattari;Marco Chiarandini

  • Local-Search and Hybrid Evolutionary Algorithms for Pareto Optimization

    Joshua Knowles

  • Ant-Based Clustering and Topographic Mapping

    J. Handl;J. Knowles;M. Dorigo

  • Fifty years of pulsar candidate selection: from simple filters to a new principled real-time classification approach

    Robert Lyon;Benjamin Stappers;Sally Cooper;John Martin Brooke

  • Supplementary material to computational cluster validation in post-genomic data analysis

    Julia Handl;Joshua Knowles;Douglas B. Kell

Frequent Co-Authors

David Corne
David Corne Heriot-Watt University
Douglas B. Kell
Douglas B. Kell University of Liverpool
Kalyanmoy Deb
Kalyanmoy Deb Michigan State University
Marco Dorigo
Marco Dorigo Université Libre de Bruxelles
David C. Wedge
David C. Wedge University of Manchester
Philip J. R. Day
Philip J. R. Day University of Manchester
Eckart Zitzler
Eckart Zitzler Lucerne University of Applied Sciences and Arts
Salvatore Greco
Salvatore Greco University of Portsmouth
Günter Rudolph
Günter Rudolph TU Dortmund University
Kathrin Klamroth
Kathrin Klamroth University of Wuppertal

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