Joshua D. Knowles

ORCID

Publication Activity (10 Years)

Years Active: 1999-2024
Publications (10 Years): 25

Top Venues

CoRR

EMO

GECCO (Companion)

IEEE Trans. Evol. Comput.

University of Reading, UK (PHD)

Education History

University of Reading, UK

PHD

Publications

Seyed Mahdi Shavarani, Manuel López-Ibáñez, Joshua D. Knowles
On Benchmarking Interactive Evolutionary Multiobjective Algorithms. IEEE Trans. Evol. Comput. 28 (4) (2024)
Stefan Pricopie, Richard Allmendinger, Manuel López-Ibáñez, Clyde Fare, Matt Benatan, Joshua D. Knowles
An adaptive approach to Bayesian Optimization with switching costs. CoRR (2024)
Stefan Pricopie, Richard Allmendinger, Manuel López-Ibáñez, Clyde Fare, Matt Benatan, Joshua D. Knowles
Bayesian Optimization with Setup Switching Cost. GECCO Companion (2024)
Seyed Mahdi Shavarani, Manuel López-Ibáñez, Richard Allmendinger, Joshua D. Knowles
An Interactive Decision Tree-Based Evolutionary Multi-objective Algorithm. EMO (2023)
Jamie Caldwell, Joshua D. Knowles, Christoph Thies, Filip Kubacki, Richard A. Watson
Deep Optimisation: Transitioning the Scale of Evolutionary Search by Inducing and Searching in Deep Representations. SN Comput. Sci. 3 (3) (2022)
Chin Woei Lim, Richard Allmendinger, Joshua D. Knowles, Ayesha AlHosani, Mercedes Bleda
Cooperative Multi-agent Search on Endogenously-Changing Fitness Landscapes. PPSN (1) (2022)
Chin Woei Lim, Richard Allmendinger, Joshua D. Knowles, Ayesha AlHosani, Mercedes Bleda
Cooperative Multi-Agent Search on Endogenously-Changing Fitness Landscapes. CoRR (2022)
Seyed Mahdi Shavarani, Manuel López-Ibáñez, Joshua D. Knowles
Realistic utility functions prove difficult for state-of-the-art interactive multiobjective optimization algorithms. GECCO (2021)
Jamie Caldwell, Joshua D. Knowles, Christoph Thies, Filip Kubacki, Richard A. Watson
Deep Optimisation: Multi-scale Evolution by Inducing and Searching in Deep Representations. EvoApplications (2021)
Richard Allmendinger, Joshua D. Knowles
Heterogeneous Objectives: State-of-the-Art and Future Research. CoRR (2021)
J. R. Caldwell, Richard A. Watson, Christoph Thies, Joshua D. Knowles
Deep Optimisation: Solving Combinatorial Optimisation Problems using Deep Neural Networks. CoRR (2018)
Mario Garza-Fabre, Julia Handl, Joshua D. Knowles
An Improved and More Scalable Evolutionary Approach to Multiobjective Clustering. IEEE Trans. Evol. Comput. 22 (4) (2018)
Kathrin Klamroth, Joshua D. Knowles, Günter Rudolph, Margaret M. Wiecek
Personalized Multiobjective Optimization: An Analytics Perspective (Dagstuhl Seminar 18031). Dagstuhl Reports 8 (1) (2018)
David Buckley, Ke Chen, Joshua D. Knowles
Rapid Skill Capture in a First-Person Shooter. IEEE Trans. Comput. Intell. AI Games 9 (1) (2017)
Ofer M. Shir, Thomas Bäck, Joshua D. Knowles, Richard Allmendinger
Sequential experimentation by evolutionary algorithms. GECCO (Companion) (2017)
Jussi Hakanen, Joshua D. Knowles
On Using Decision Maker Preferences with ParEGO. EMO (2017)
Mario Garza-Fabre, Julia Handl, Joshua D. Knowles
A New Reduced-Length Genetic Representation for Evolutionary Multiobjective Clustering. EMO (2017)
Dimo Brockhoff, Joshua D. Knowles, Boris Naujoks, Karthik Sindhya
Editorial. Comput. Oper. Res. 79 (2017)
Steve Miller, Joshua D. Knowles
A minimal model for the emergence of cooperation in randomly growing networks. CoRR (2016)
Mario Garza-Fabre, Shaun M. Kandathil, Julia Handl, Joshua D. Knowles, Simon C. Lovell
Generating, Maintaining, and Exploiting Diversity in a Memetic Algorithm for Protein Structure Prediction. Evol. Comput. 24 (4) (2016)
Steve Miller, Joshua D. Knowles
The Emergence of Cooperation in Public Goods Games on Randomly-Growing Dynamic Networks. CoRR (2016)
Steve Miller, Joshua D. Knowles
Global Network Cooperation Catalysed by a Small Prosocial Migrant Clique. UCNC (2016)
Steve Miller, Joshua D. Knowles
The Emergence of Cooperation in Public Goods Games on Randomly Growing Dynamic Networks. EvoApplications (1) (2016)
Krzysztof Michalak, Joshua D. Knowles
Simheuristics for the Multiobjective Nondeterministic Firefighter Problem in a Time-Constrained Setting. EvoApplications (2) (2016)
Steve Miller, Joshua D. Knowles
Global network cooperation catalysed by a small prosocial migrant clique. CoRR (2016)
Andrew M. Webb, Julia Handl, Joshua D. Knowles
How Much Should You Select for Evolvability? ECAL (2015)
James Bradbury, Grégory Genta-Jouve, James William Allwood, Warwick B. Dunn, Royston Goodacre, Joshua D. Knowles, Shan He, Mark R. Viant
MUSCLE: automated multi-objective evolutionary optimization of targeted LC-MS/MS analysis. Bioinform. 31 (6) (2015)
Steve Miller, Joshua D. Knowles
A Minimal Model for the Emergence of Cooperation in Randomly Growing Networks. ECAL (2015)
Mario Garza-Fabre, Shaun M. Kandathil, Julia Handl, Joshua D. Knowles, Simon C. Lovell
Using Machine Learning to Explore the Relevance of Local and Global Features During Conformational Search in Rosetta. GECCO (Companion) (2015)
Manuel López-Ibáñez, Joshua D. Knowles
Machine Decision Makers as a Laboratory for Interactive EMO. EMO (2) (2015)
Salvatore Greco, Kathrin Klamroth, Joshua D. Knowles, Günter Rudolph
Understanding Complexity in Multiobjective Optimization (Dagstuhl Seminar 15031). Dagstuhl Reports 5 (1) (2015)
Richard Allmendinger, Julia Handl, Joshua D. Knowles
Multiobjective optimization: When objectives exhibit non-uniform latencies. Eur. J. Oper. Res. 243 (2) (2015)
Andrew M. Webb, Joshua D. Knowles
Studying the Evolvability of of Self-Encoding Genotype-Phenotype Maps. ALIFE (2014)
Steve Miller, Joshua D. Knowles
Population Fluctuation Promotes Cooperation in Networks. CoRR (2014)
Robert J. Lyon, J. M. Brooke, Joshua D. Knowles, Benjamin W. Stappers
Hellinger Distance Trees for Imbalanced Streams. ICPR (2014)
David Buckley, Ke Chen, Joshua D. Knowles
Rapid Skill Capture in a First-Person Shooter. CoRR (2014)
Robert J. Lyon, J. M. Brooke, Joshua D. Knowles, Benjamin W. Stappers
Hellinger Distance Trees for Imbalanced Streams. CoRR (2014)
Julia Handl, Joshua D. Knowles
Evidence Accumulation in Multiobjective Data Clustering. EMO (2013)
Richard Allmendinger, Joshua D. Knowles
'Hang On a Minute': Investigations on the Effects of Delayed Objective Functions in Multiobjective Optimization. EMO (2013)
Robert J. Lyon, J. M. Brooke, Joshua D. Knowles, Benjamin W. Stappers
A Study on Classification in Imbalanced and Partially-Labelled Data Streams. SMC (2013)
Shaun M. Kandathil, Timothy L. Fletcher, Yongna Yuan, Joshua D. Knowles, Paul L. A. Popelier
Accuracy and tractability of a kriging model of intramolecular polarizable multipolar electrostatics and its application to histidine. J. Comput. Chem. 34 (21) (2013)
Richard Allmendinger, Joshua D. Knowles
On Handling Ephemeral Resource Constraints in Evolutionary Search. Evol. Comput. 21 (3) (2013)
David Buckley, Ke Chen, Joshua D. Knowles
Predicting skill from gameplay input to a first-person shooter. CIG (2013)
Ricardo Aler, Julia Handl, Joshua D. Knowles
Comparing multi-objective and threshold-moving ROC curve generation for a prototype-based classifier. GECCO (2013)
Ahmad Almakhlafi, Joshua D. Knowles
Systematic construction of algorithm portfolios for a Maintenance Scheduling Problem. IEEE Congress on Evolutionary Computation (2013)
Robert J. Lyon, J. M. Brooke, Joshua D. Knowles, Benjamin W. Stappers
A Study on Classification in Imbalanced and Partially-Labelled Data Streams. CoRR (2013)
Salvatore Greco, Joshua D. Knowles, Kaisa Miettinen, Eckart Zitzler
Learning in Multiobjective Optimization (Dagstuhl Seminar 12041). Dagstuhl Reports 2 (1) (2012)
Ahmad Almakhlafi, Joshua D. Knowles
Benchmarks for maintenance scheduling problems in power generation. IEEE Congress on Evolutionary Computation (2012)
Julia Handl, Joshua D. Knowles
Clustering Criteria in Multiobjective Data Clustering. PPSN (2) (2012)
Richard Allmendinger, Joshua D. Knowles
Evolutionary Search in Lethal Environments. IJCCI (ECTA-FCTA) (2011)
Manuel López-Ibáñez, Joshua D. Knowles, Marco Laumanns
On Sequential Online Archiving of Objective Vectors. EMO (2011)
Richard Allmendinger, Joshua D. Knowles
Policy learning in resource-constrained optimization. GECCO (2011)
Thomas Bäck, Joshua D. Knowles, Ofer M. Shir
Experimental optimization by evolutionary algorithms. GECCO (Companion) (2010)
Eric Bonabeau, David W. Corne, Joshua D. Knowles, Riccardo Poli
Swarm intelligence theory: A snapshot of the state of the art. Theor. Comput. Sci. 411 (21) (2010)
Richard Allmendinger, Joshua D. Knowles
On-Line Purchasing Strategies for an Evolutionary Algorithm Performing Resource-Constrained Optimization. PPSN (2) (2010)
Richard Allmendinger, Joshua D. Knowles
Evolutionary Optimization on Problems Subject to Changes of Variables. PPSN (2) (2010)
William Rowe, David C. Wedge, Mark Platt, Douglas B. Kell, Joshua D. Knowles
Predictive models for population performance on real biological fitness landscapes. Bioinform. 26 (17) (2010)
David W. Corne, Joshua D. Knowles
Techniques for Highly Multiobjective Optimisation: Some Nondominated Points are Better than Others CoRR (2009)
Joshua D. Knowles
Closed-loop evolutionary multiobjective optimization. IEEE Comput. Intell. Mag. 4 (3) (2009)
Jörg Fliege, Nicola Beume, Jürgen Branke, Heinrich Braun, Nirupam Chakraborti, Kalyanmoy Deb, Sabine Helwig, Joshua D. Knowles, Martin Middendorf, Sanaz Mostaghim, Silvia Poles, Daniel E. Salazar Aponte, Shukla Pradymn, El-Ghazali Talbi
09041 Working Group on EMO for Robust Multiobjective Optimization (1st Round). Hybrid and Robust Approaches to Multiobjective Optimization (2009)
Julia Handl, Joshua D. Knowles, Simon C. Lovell
Artefacts and biases affecting the evaluation of scoring functions on decoy sets for protein structure prediction. Bioinform. 25 (10) (2009)
Joshua D. Knowles, David Corne, Alan P. Reynolds
Noisy Multiobjective Optimization on a Budget of 250 Evaluations. EMO (2009)
Julia Handl, Simon C. Lovell, Joshua D. Knowles
Multiobjectivization by Decomposition of Scalar Cost Functions. PPSN (2008)
Julia Handl, Simon C. Lovell, Joshua D. Knowles
Investigations into the Effect of Multiobjectivization in Protein Structure Prediction. PPSN (2008)
Eckart Zitzler, Joshua D. Knowles, Lothar Thiele
Quality Assessment of Pareto Set Approximations. Multiobjective Optimization (2008)
Caroline Farrelly, Douglas B. Kell, Joshua D. Knowles
Molecular Structure Elucidation Using Ant Colony Optimization: A Preliminary Study. ANTS Conference (2008)
Joshua D. Knowles, Hirotaka Nakayama
Meta-Modeling in Multiobjective Optimization. Multiobjective Optimization (2008)
Ludmil Mikhailov, Joshua D. Knowles
Priority Elicitation in the AHP by a Pareto Envelope-Based Selection Algorithm. MCDM (2008)
Yisu Jin, Joshua D. Knowles, Hongmei Lu, Yizeng Liang, Douglas B. Kell
The landscape adaptive particle swarm optimizer. Appl. Soft Comput. 8 (1) (2008)
David W. Corne, Joshua D. Knowles
Techniques for highly multiobjective optimisation: some nondominated points are better than others. GECCO (2007)
Julia Handl, Joshua D. Knowles
An Evolutionary Approach to Multiobjective Clustering. IEEE Trans. Evol. Comput. 11 (1) (2007)
Julia Handl, Douglas B. Kell, Joshua D. Knowles
Multiobjective Optimization in Bioinformatics and Computational Biology. IEEE ACM Trans. Comput. Biol. Bioinform. 4 (2) (2007)
Joshua D. Knowles
ParEGO: a hybrid algorithm with on-line landscape approximation for expensive multiobjective optimization problems. IEEE Trans. Evol. Comput. 10 (1) (2006)
Julia Handl, Joshua D. Knowles
An Investigation of Representations and Operators for Evolutionary Data Clustering with a Variable Number of Clusters. PPSN (2006)
Julia Handl, Joshua D. Knowles
Semi-supervised feature selection via multiobjective optimization. IJCNN (2006)
Julia Handl, Joshua D. Knowles
On semi-supervised clustering via multiobjective optimization. GECCO (2006)
William Rowe, David Corne, Joshua D. Knowles
Predicting Stochastic Search Algorithm Performance using Landscape State Machines. IEEE Congress on Evolutionary Computation (2006)
Joshua D. Knowles, David Corne
Quantifying the Effects of Objective Space Dimension in Evolutionary Multiobjective Optimization. EMO (2006)
Julia Handl, Joshua D. Knowles, Marco Dorigo
Ant-Based Clustering and Topographic Mapping. Artif. Life 12 (1) (2006)
Leonora Bianchi, Joshua D. Knowles, Neill Bowler
Local search for the probabilistic traveling salesman problem: Correction to the 2-p-opt and 1-shift algorithms. Eur. J. Oper. Res. 162 (1) (2005)
Joshua D. Knowles
A summary-attainment-surface plotting method for visualizing the performance of stochastic multiobjective optimizers. ISDA (2005)
Julia Handl, Joshua D. Knowles
Exploiting the Trade-off - The Benefits of Multiple Objectives in Data Clustering. EMO (2005)
Julia Handl, Joshua D. Knowles, Douglas B. Kell
Computational cluster validation in post-genomic data analysis. Bioinform. 21 (15) (2005)
Julia Handl, Joshua D. Knowles
Improvements to the scalability of multiobjective clustering. Congress on Evolutionary Computation (2005)
Joshua D. Knowles, Evan J. Hughes
Multiobjective Optimization on a Budget of 250 Evaluations. EMO (2005)
Julia Handl, Joshua D. Knowles
Multiobjective clustering around medoids. Congress on Evolutionary Computation (2005)
Julia Handl, Joshua D. Knowles
Evolutionary Multiobjective Clustering. PPSN (2004)
Joshua D. Knowles, David W. Corne, M. Fleischer
Bounded archiving using the lebesgue measure. IEEE Congress on Evolutionary Computation (2003)
David Corne, Joshua D. Knowles
No Free Lunch and Free Leftovers Theorems for Multiobjective Optimisation Problems. EMO (2003)
David Corne, Joshua D. Knowles
Some multiobjective optimizers are better than others. IEEE Congress on Evolutionary Computation (2003)
Joshua D. Knowles, David Corne
Instance Generators and Test Suites for the Multiobjective Quadratic Assignment Problem. EMO (2003)
Julia Handl, Joshua D. Knowles, Marco Dorigo
Strategies for the Increased Robustness of Ant-Based Clustering. Engineering Self-Organising Systems (2003)
Joshua D. Knowles, David Corne
Properties of an adaptive archiving algorithm for storing nondominated vectors. IEEE Trans. Evol. Comput. 7 (2) (2003)
Julia Handl, Joshua D. Knowles, Marco Dorigo
On the Performance of Ant-based Clustering. HIS (2003)
Joshua D. Knowles, David W. Corne
Enumeration of Pareto optimal multi-criteria spanning trees - a proof of the incorrectness of Zhou and Gen's proposed algorithm. Eur. J. Oper. Res. 143 (3) (2002)
Joshua D. Knowles, David Corne
Towards Landscape Analyses to Inform the Design of Hybrid Local Search for the Multiobjective Quadratic Assignment Problem. HIS (2002)
Joshua D. Knowles, David Corne
On metrics for comparing nondominated sets. IEEE Congress on Evolutionary Computation (2002)
Krzysztof Socha, Joshua D. Knowles, Michael Sampels
A MAX-MIN Ant System for the University Course Timetabling Problem. Ant Algorithms (2002)
Olivia Rossi-Doria, Michael Sampels, Mauro Birattari, Marco Chiarandini, Marco Dorigo, Luca Maria Gambardella, Joshua D. Knowles, Max Manfrin, Monaldo Mastrolilli, Ben Paechter, Luís Paquete, Thomas Stützle
A Comparison of the Performance of Different Metaheuristics on the Timetabling Problem. PATAT (2002)
Joshua D. Knowles, Richard A. Watson
On the Utility of Redundant Encodings in Mutation-Based Evolutionary Search. PPSN (2002)

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Publication Activity (10 Years)

Top Topics

Top Venues

Joshua D. Knowles