The Pareto archived evolution strategy: a new baseline algorithm for Pareto multiobjective optimisation. - Joshua D. Knowles; David Corne (CEC, 1999)

M-PAES: a memetic algorithm for multiobjective optimization. - Joshua D. Knowles; David W. Corne (CEC, 2000)

Heuristics for Evolutionary Off-line Routing in Telecommunication Networks. - Joshua D. Knowles; David Corne (GECCO, 2000)

The Pareto Envelope-Based Selection Algorithm for Multi-objective Optimisation. - David Corne; Joshua D. Knowles; Martin J. Oates (PPSN, 2000)

On the Assessment of Multiobjective Approaches to the Adaptive Distributed Database Management Problem. - Joshua D. Knowles; David Corne; Martin J. Oates (PPSN, 2000)

Approximating the Nondominated Front Using the Pareto Archived Evolution Strategy. - Joshua D. Knowles; David Corne (Evol. Comput., 2000)

A new evolutionary approach to the degree-constrained minimum spanning tree problem. - Joshua D. Knowles; David Corne (IEEE Trans. Evol. Comput., 2000)

A comparison of encodings and algorithms for multiobjective minimum spanning tree problems. - Joshua D. Knowles; David W. Corne (CEC, 2001)

Reducing Local Optima in Single-Objective Problems by Multi-objectivization. - Joshua D. Knowles; Richard A. Watson; David Corne (EMO, 2001)

A MAX-MIN Ant System for the University Course Timetabling Problem. - Krzysztof Socha; Joshua D. Knowles; Michael Sampels (Ant Algorithms, 2002)

On metrics for comparing nondominated sets. - Joshua D. Knowles; David Corne (IEEE Congress on Evolutionary Computation, 2002)

Towards Landscape Analyses to Inform the Design of Hybrid Local Search for the Multiobjective Quadratic Assignment Problem. - Joshua D. Knowles; David Corne (HIS, 2002)

A Comparison of the Performance of Different Metaheuristics on the Timetabling Problem. - 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 (PATAT, 2002)

On the Utility of Redundant Encodings in Mutation-Based Evolutionary Search. - Joshua D. Knowles; Richard A. Watson (PPSN, 2002)

Enumeration of Pareto optimal multi-criteria spanning trees - a proof of the incorrectness of Zhou and Gen's proposed algorithm. - Joshua D. Knowles; David W. Corne (Eur. J. Oper. Res., 2002)

Local-search and hybrid evolutionary algorithms for Pareto optimization. - Joshua D. Knowles (2002)

Strategies for the Increased Robustness of Ant-Based Clustering. - Julia Handl; Joshua D. Knowles; Marco Dorigo (Engineering Self-Organising Systems, 2003)

Some multiobjective optimizers are better than others. - David Corne; Joshua D. Knowles (IEEE Congress on Evolutionary Computation, 2003)

Bounded archiving using the lebesgue measure. - Joshua D. Knowles; David W. Corne; M. Fleischer (IEEE Congress on Evolutionary Computation, 2003)

No Free Lunch and Free Leftovers Theorems for Multiobjective Optimisation Problems. - David Corne; Joshua D. Knowles (EMO, 2003)

Instance Generators and Test Suites for the Multiobjective Quadratic Assignment Problem. - Joshua D. Knowles; David Corne (EMO, 2003)

On the Performance of Ant-based Clustering. - Julia Handl; Joshua D. Knowles; Marco Dorigo (HIS, 2003)

Properties of an adaptive archiving algorithm for storing nondominated vectors. - Joshua D. Knowles; David Corne (IEEE Trans. Evol. Comput., 2003)

Bounded Pareto Archiving: Theory and Practice. - Joshua D. Knowles; David Corne (Metaheuristics for Multiobjective Optimisation, 2004)

Evolutionary Multiobjective Clustering. - Julia Handl; Joshua D. Knowles (PPSN, 2004)

Multiobjective clustering around medoids. - Julia Handl; Joshua D. Knowles (Congress on Evolutionary Computation, 2005)

Improvements to the scalability of multiobjective clustering. - Julia Handl; Joshua D. Knowles (Congress on Evolutionary Computation, 2005)

Exploiting the Trade-off - The Benefits of Multiple Objectives in Data Clustering. - Julia Handl; Joshua D. Knowles (EMO, 2005)

Multiobjective Optimization on a Budget of 250 Evaluations. - Joshua D. Knowles; Evan J. Hughes (EMO, 2005)

A summary-attainment-surface plotting method for visualizing the performance of stochastic multiobjective optimizers. - Joshua D. Knowles (ISDA, 2005)

Computational cluster validation in post-genomic data analysis. - Julia Handl; Joshua D. Knowles; Douglas B. Kell (Bioinform., 2005)

Local search for the probabilistic traveling salesman problem: Correction to the 2-p-opt and 1-shift algorithms. - Leonora Bianchi; Joshua D. Knowles; Neill Bowler (Eur. J. Oper. Res., 2005)

Predicting Stochastic Search Algorithm Performance using Landscape State Machines. - William Rowe; David Corne; Joshua D. Knowles (IEEE Congress on Evolutionary Computation, 2006)

On semi-supervised clustering via multiobjective optimization. - Julia Handl; Joshua D. Knowles (GECCO, 2006)

Semi-supervised feature selection via multiobjective optimization. - Julia Handl; Joshua D. Knowles (IJCNN, 2006)

An Investigation of Representations and Operators for Evolutionary Data Clustering with a Variable Number of Clusters. - Julia Handl; Joshua D. Knowles (PPSN, 2006)

Ant-Based Clustering and Topographic Mapping. - Julia Handl; Joshua D. Knowles; Marco Dorigo (Artif. Life, 2006)

ParEGO: a hybrid algorithm with on-line landscape approximation for expensive multiobjective optimization problems. - Joshua D. Knowles (IEEE Trans. Evol. Comput., 2006)

Multi-Objective Clustering and Cluster Validation. - Julia Handl; Joshua D. Knowles (Multi-Objective Machine Learning, 2006)

Quantifying the Effects of Objective Space Dimension in Evolutionary Multiobjective Optimization. - Joshua D. Knowles; David Corne (EMO, 2007)

Techniques for highly multiobjective optimisation: some nondominated points are better than others. - David W. Corne; Joshua D. Knowles (GECCO, 2007)

Multiobjective Optimization in Bioinformatics and Computational Biology. - Julia Handl; Douglas B. Kell; Joshua D. Knowles (IEEE ACM Trans. Comput. Biol. Bioinform., 2007)

An Evolutionary Approach to Multiobjective Clustering. - Julia Handl; Joshua D. Knowles (IEEE Trans. Evol. Comput., 2007)

Modes of Problem Solving with Multiple Objectives: Implications for Interpreting the Pareto Set and for Decision Making. - Julia Handl; Joshua D. Knowles (Multiobjective Problem Solving from Nature, 2008)

Introduction: Problem Solving, EC and EMO. - Joshua D. Knowles; David Corne; Kalyanmoy Deb (Multiobjective Problem Solving from Nature, 2008)

Molecular Structure Elucidation Using Ant Colony Optimization: A Preliminary Study. - Caroline Farrelly; Douglas B. Kell; Joshua D. Knowles (ANTS Conference, 2008)

Meta-Modeling in Multiobjective Optimization. - Joshua D. Knowles; Hirotaka Nakayama (Multiobjective Optimization, 2008)

Quality Assessment of Pareto Set Approximations. - Eckart Zitzler; Joshua D. Knowles; Lothar Thiele (Multiobjective Optimization, 2008)

Priority Elicitation in the AHP by a Pareto Envelope-Based Selection Algorithm. - Ludmil Mikhailov; Joshua D. Knowles (MCDM, 2008)

Multiobjectivization by Decomposition of Scalar Cost Functions. - Julia Handl; Simon C. Lovell; Joshua D. Knowles (PPSN, 2008)

Investigations into the Effect of Multiobjectivization in Protein Structure Prediction. - Julia Handl; Simon C. Lovell; Joshua D. Knowles (PPSN, 2008)

The landscape adaptive particle swarm optimizer. - Yisu Jin; Joshua D. Knowles; Hongmei Lu; Yizeng Liang; Douglas B. Kell (Appl. Soft Comput., 2008)

09041 Working Group on EMO for Robust Multiobjective Optimization (1st Round). - 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; et al. (Hybrid and Robust Approaches to Multiobjective Optimization, 2009)

Noisy Multiobjective Optimization on a Budget of 250 Evaluations. - Joshua D. Knowles; David Corne; Alan P. Reynolds (EMO, 2009)

Artefacts and biases affecting the evaluation of scoring functions on decoy sets for protein structure prediction. - Julia Handl; Joshua D. Knowles; Simon C. Lovell (Bioinform., 2009)

Closed-loop evolutionary multiobjective optimization. - Joshua D. Knowles (IEEE Comput. Intell. Mag., 2009)

Experimental optimization by evolutionary algorithms. - Thomas Bäck; Joshua D. Knowles; Ofer M. Shir (GECCO (Companion), 2010)

Evolutionary Optimization on Problems Subject to Changes of Variables. - Richard Allmendinger 001; Joshua D. Knowles (PPSN (2), 2010)

On-Line Purchasing Strategies for an Evolutionary Algorithm Performing Resource-Constrained Optimization. - Richard Allmendinger 001; Joshua D. Knowles (PPSN (2), 2010)

Predictive models for population performance on real biological fitness landscapes. - William Rowe; David C. Wedge; Mark Platt; Douglas B. Kell; Joshua D. Knowles (Bioinform., 2010)

Swarm intelligence theory: A snapshot of the state of the art. - Eric Bonabeau; David W. Corne; Joshua D. Knowles; Riccardo Poli (Theor. Comput. Sci., 2010)

Evolutionary Clustering. - David Corne; Julia Handl; Joshua D. Knowles (Encyclopedia of Machine Learning, 2010)

On Sequential Online Archiving of Objective Vectors. - Manuel López-Ibáñez 001; Joshua D. Knowles; Marco Laumanns (EMO, 2011)

Policy learning in resource-constrained optimization. - Richard Allmendinger 001; Joshua D. Knowles (GECCO, 2011)

Evolutionary Search in Lethal Environments. - Richard Allmendinger 001; Joshua D. Knowles (IJCCI (ECTA-FCTA), 2011)

Benchmarks for maintenance scheduling problems in power generation. - Ahmad Almakhlafi; Joshua D. Knowles (IEEE Congress on Evolutionary Computation, 2012)

Clustering Criteria in Multiobjective Data Clustering. - Julia Handl; Joshua D. Knowles (PPSN (2), 2012)

Learning in Multiobjective Optimization (Dagstuhl Seminar 12041). - Salvatore Greco; Joshua D. Knowles; Kaisa Miettinen; Eckart Zitzler (Dagstuhl Reports, 2012)

Selected Aspects of Natural Computing. - David W. Corne; Kalyanmoy Deb; Joshua D. Knowles; Xin Yao 001 (Handbook of Natural Computing, 2012)

Systematic construction of algorithm portfolios for a Maintenance Scheduling Problem. - Ahmad Almakhlafi; Joshua D. Knowles (IEEE Congress on Evolutionary Computation, 2013)

Predicting skill from gameplay input to a first-person shooter. - David L. Buckley; Ke Chen 001; Joshua D. Knowles (CIG, 2013)

'Hang On a Minute': Investigations on the Effects of Delayed Objective Functions in Multiobjective Optimization. - Richard Allmendinger 001; Joshua D. Knowles (EMO, 2013)

Evidence Accumulation in Multiobjective Data Clustering. - Julia Handl; Joshua D. Knowles (EMO, 2013)

Comparing multi-objective and threshold-moving ROC curve generation for a prototype-based classifier. - Ricardo Aler; Julia Handl; Joshua D. Knowles (GECCO, 2013)

A Study on Classification in Imbalanced and Partially-Labelled Data Streams. - Robert J. Lyon; J. M. Brooke; Joshua D. Knowles; Benjamin W. Stappers (SMC, 2013)

On Handling Ephemeral Resource Constraints in Evolutionary Search. - Richard Allmendinger 001; Joshua D. Knowles (Evol. Comput., 2013)

Accuracy and tractability of a kriging model of intramolecular polarizable multipolar electrostatics and its application to histidine. - Shaun M. Kandathil; Timothy L. Fletcher; Yongna Yuan; Joshua D. Knowles; Paul L. A. Popelier (J. Comput. Chem., 2013)

Studying the Evolvability of of Self-Encoding Genotype-Phenotype Maps. - Andrew M. Webb; Joshua D. Knowles (ALIFE, 2014)

Hellinger Distance Trees for Imbalanced Streams. - Robert J. Lyon; J. M. Brooke; Joshua D. Knowles; Benjamin W. Stappers (ICPR, 2014)

Population Fluctuation Promotes Cooperation in Networks. - Steve Miller 001; Joshua D. Knowles (CoRR, 2014)

A Minimal Model for the Emergence of Cooperation in Randomly Growing Networks. - Steve Miller 001; Joshua D. Knowles (ECAL, 2015)

How Much Should You Select for Evolvability? - Andrew M. Webb; Julia Handl; Joshua D. Knowles (ECAL, 2015)

Machine Decision Makers as a Laboratory for Interactive EMO. - Manuel López-Ibáñez 001; Joshua D. Knowles (EMO (2), 2015)

Using Machine Learning to Explore the Relevance of Local and Global Features During Conformational Search in Rosetta. - Mario Garza-Fabre; Shaun M. Kandathil; Julia Handl; Joshua D. Knowles; Simon C. Lovell (GECCO (Companion), 2015)

MUSCLE: automated multi-objective evolutionary optimization of targeted LC-MS/MS analysis. - James Bradbury 001; Grégory Genta-Jouve; James William Allwood; Warwick B. Dunn; Royston Goodacre; Joshua D. Knowles; Shan He 001; Mark R. Viant (Bioinform., 2015)

Understanding Complexity in Multiobjective Optimization (Dagstuhl Seminar 15031). - Salvatore Greco; Kathrin Klamroth; Joshua D. Knowles; Günter Rudolph (Dagstuhl Reports, 2015)

Multiobjective optimization: When objectives exhibit non-uniform latencies. - Richard Allmendinger 001; Julia Handl; Joshua D. Knowles (Eur. J. Oper. Res., 2015)

Simheuristics for the Multiobjective Nondeterministic Firefighter Problem in a Time-Constrained Setting. - Krzysztof Michalak; Joshua D. Knowles (EvoApplications (2), 2016)

The Emergence of Cooperation in Public Goods Games on Randomly Growing Dynamic Networks. - Steve Miller 001; Joshua D. Knowles (EvoApplications (1), 2016)

Global Network Cooperation Catalysed by a Small Prosocial Migrant Clique. - Steve Miller 001; Joshua D. Knowles (UCNC, 2016)

Generating, Maintaining, and Exploiting Diversity in a Memetic Algorithm for Protein Structure Prediction. - Mario Garza-Fabre; Shaun M. Kandathil; Julia Handl; Joshua D. Knowles; Simon C. Lovell (Evol. Comput., 2016)

A New Reduced-Length Genetic Representation for Evolutionary Multiobjective Clustering. - Mario Garza-Fabre; Julia Handl; Joshua D. Knowles (EMO, 2017)

On Using Decision Maker Preferences with ParEGO. - Jussi Hakanen; Joshua D. Knowles (EMO, 2017)

Sequential experimentation by evolutionary algorithms. - Ofer M. Shir; Thomas Bäck; Joshua D. Knowles; Richard Allmendinger 001 (GECCO (Companion), 2017)

Editorial. - Dimo Brockhoff; Joshua D. Knowles; Boris Naujoks; Karthik Sindhya (Comput. Oper. Res., 2017)

Rapid Skill Capture in a First-Person Shooter. - David L. Buckley; Ke Chen 001; Joshua D. Knowles (IEEE Trans. Comput. Intell. AI Games, 2017)

Evolutionary Clustering. - David W. Corne; Julia Handl; Joshua D. Knowles (Encyclopedia of Machine Learning and Data Mining, 2017)

Deep Optimisation: Solving Combinatorial Optimisation Problems using Deep Neural Networks. - J. R. Caldwell; Richard A. Watson; Christoph Thies; Joshua D. Knowles (CoRR, 2018)

Personalized Multiobjective Optimization: An Analytics Perspective (Dagstuhl Seminar 18031). - Kathrin Klamroth; Joshua D. Knowles; Günter Rudolph; Margaret M. Wiecek (Dagstuhl Reports, 2018)

An Improved and More Scalable Evolutionary Approach to Multiobjective Clustering. - Mario Garza-Fabre; Julia Handl; Joshua D. Knowles (IEEE Trans. Evol. Comput., 2018)

Deep Optimisation: Multi-scale Evolution by Inducing and Searching in Deep Representations. - Jamie Caldwell; Joshua D. Knowles; Christoph Thies; Filip Kubacki; Richard A. Watson (EvoApplications, 2021)

Realistic utility functions prove difficult for state-of-the-art interactive multiobjective optimization algorithms. - Seyed Mahdi Shavarani; Manuel López-Ibáñez 001; Joshua D. Knowles (GECCO, 2021)

Heterogeneous Objectives: State-of-the-Art and Future Research. - Richard Allmendinger 001; Joshua D. Knowles (CoRR, 2021)

Expensive optimization with production-graph resource constraints: a first look at a new problem class. - Stefan Pricopie; Richard Allmendinger 001; Manuel López-Ibáñez 001; Clyde Fare; Matt Benatan; Joshua D. Knowles (GECCO, 2022)

Inventing and Assessing Simple Heuristics for Bidding in Wholesale Electricity Markets. - Jake Atkinson; Richard Allmendinger 001; Joshua D. Knowles (OR, 2022)

Cooperative Multi-agent Search on Endogenously-Changing Fitness Landscapes. - Chin Woei Lim; Richard Allmendinger 001; Joshua D. Knowles; Ayesha AlHosani; Mercedes Bleda (PPSN (1), 2022)

Deep Optimisation: Transitioning the Scale of Evolutionary Search by Inducing and Searching in Deep Representations. - Jamie Caldwell; Joshua D. Knowles; Christoph Thies; Filip Kubacki; Richard A. Watson (SN Comput. Sci., 2022)

An Interactive Decision Tree-Based Evolutionary Multi-objective Algorithm. - Seyed Mahdi Shavarani; Manuel López-Ibáñez 001; Richard Allmendinger 001; Joshua D. Knowles (EMO, 2023)

Heterogeneous Objectives: State-of-the-Art and Future Research. - Richard Allmendinger 001; Joshua D. Knowles (Many-Criteria Optimization and Decision Analysis, 2023)

A Block-Coordinate Descent EMO Algorithm: Theoretical and Empirical Analysis. - Benjamin Doerr; Joshua D. Knowles; Aneta Neumann; Frank Neumann 001 (GECCO, 2024)

Evolutionary Multiobjective Optimization (EMO). - Joshua D. Knowles; Weijie Zheng 001 (GECCO Companion, 2024)

Bayesian Optimization with Setup Switching Cost. - Stefan Pricopie; Richard Allmendinger 001; Manuel López-Ibáñez 001; Clyde Fare; Matt Benatan; Joshua D. Knowles (GECCO Companion, 2024)

An Adaptive Approach to Bayesian Optimization with Setup Switching Costs. - Stefan Pricopie; Richard Allmendinger 001; Manuel López-Ibáñez 001; Clyde Fare; Matt Benatan; Joshua D. Knowles (PPSN (2), 2024)

An adaptive approach to Bayesian Optimization with switching costs. - Stefan Pricopie; Richard Allmendinger 001; Manuel López-Ibáñez 001; Clyde Fare; Matt Benatan; Joshua D. Knowles (CoRR, 2024)

On Benchmarking Interactive Evolutionary Multiobjective Algorithms. - Seyed Mahdi Shavarani; Manuel López-Ibáñez 001; Joshua D. Knowles (IEEE Trans. Evol. Comput., 2024)