Joshua D. Knowles

132 papers A 16B 15C 18Journal 41Unranked 30

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	An MaOEA/Local Search Hybrid Based on a Fast, Stochastic BFGS Using Achievement Scalarizing Search Directions. EMO (1) Regina C. L. C. de Sousa, Dênis E. C. Vargas, Elizabeth F. Wanner, Joshua D. Knowles
2025	A	`conf`	Answering Hamming. FOGA Joshua D. Knowles
2025	—	`ed.`	Evolutionary Multi-Criterion Optimization - 13th International Conference, EMO 2025, Canberra, ACT, Australia, March 4-7, 2025, Proceedings, Part I EMO (1) Hemant K. Singh, Tapabrata Ray, Joshua D. Knowles, Xiaodong Li, Juergen Branke, Bing Wang, Akira Oyama
2025	—	`ed.`	Evolutionary Multi-Criterion Optimization - 13th International Conference, EMO 2025, Canberra, ACT, Australia, March 4-7, 2025, Proceedings, Part II EMO (2) Hemant K. Singh, Tapabrata Ray, Joshua D. Knowles, Xiaodong Li, Juergen Branke, Bing Wang, Akira Oyama
2025	—	`conf`	Improving Deep Optimisation for the Multi-dimensional Knapsack Problem using Elastic Weight Consolidation. GECCO Companion Antoine Calame, Ruth Misener, Joshua D. Knowles
2025	—	`conf`	PAES-25: Local Search, Archiving, and Multi/Many-Objective Pseudo-Boolean Functions. EMO (1) Joshua D. Knowles, Arnaud Liefooghe
2025	—	`conf`	Towards Deep Optimization in Operations Scheduling. GECCO Companion Linus Danardya, Joshua D. Knowles, Richard Allmendinger
2024	A	`conf`	A Block-Coordinate Descent EMO Algorithm: Theoretical and Empirical Analysis. GECCO Benjamin Doerr, Joshua D. Knowles, Aneta Neumann, Frank Neumann
2024	J	`jnl`	A Block-Coordinate Descent EMO Algorithm: Theoretical and Empirical Analysis. CoRR Benjamin Doerr, Joshua D. Knowles, Aneta Neumann, Frank Neumann
2024	—	`conf`	An Adaptive Approach to Bayesian Optimization with Setup Switching Costs. PPSN (2) Stefan Pricopie, Richard Allmendinger, Manuel López-Ibáñez, Clyde Fare, Matt Benatan, Joshua D. Knowles
2024	J	`jnl`	An adaptive approach to Bayesian Optimization with switching costs. CoRR Stefan Pricopie, Richard Allmendinger, Manuel López-Ibáñez, Clyde Fare, Matt Benatan, Joshua D. Knowles
2024	—	`conf`	Bayesian Optimization with Setup Switching Cost. GECCO Companion Stefan Pricopie, Richard Allmendinger, Manuel López-Ibáñez, Clyde Fare, Matt Benatan, Joshua D. Knowles
2024	—	`conf`	Evolutionary Multiobjective Optimization (EMO). GECCO Companion Joshua D. Knowles, Weijie Zheng
2024	J	`jnl`	On Benchmarking Interactive Evolutionary Multiobjective Algorithms. IEEE Trans. Evol. Comput. Seyed Mahdi Shavarani, Manuel López-Ibáñez, Joshua D. Knowles
2023	C	`conf`	An Interactive Decision Tree-Based Evolutionary Multi-objective Algorithm. EMO Seyed Mahdi Shavarani, Manuel López-Ibáñez, Richard Allmendinger, Joshua D. Knowles
2023	—	`ch.`	Heterogeneous Objectives: State-of-the-Art and Future Research. Many-Criteria Optimization and Decision Analysis Richard Allmendinger, Joshua D. Knowles
2022	J	`jnl`	Cooperative Multi-Agent Search on Endogenously-Changing Fitness Landscapes. CoRR Chin Woei Lim, Richard Allmendinger, Joshua D. Knowles, Ayesha AlHosani, Mercedes Bleda
2022	—	`conf`	Cooperative Multi-agent Search on Endogenously-Changing Fitness Landscapes. PPSN (1) Chin Woei Lim, Richard Allmendinger, Joshua D. Knowles, Ayesha AlHosani, Mercedes Bleda
2022	J	`jnl`	Deep Optimisation: Transitioning the Scale of Evolutionary Search by Inducing and Searching in Deep Representations. SN Comput. Sci. Jamie Caldwell, Joshua D. Knowles, Christoph Thies, Filip Kubacki, Richard A. Watson
2022	A	`conf`	Expensive optimization with production-graph resource constraints: a first look at a new problem class. GECCO Stefan Pricopie, Richard Allmendinger, Manuel López-Ibáñez, Clyde Fare, Matt Benatan, Joshua D. Knowles
2022	—	`conf`	Inventing and Assessing Simple Heuristics for Bidding in Wholesale Electricity Markets. OR Jake Atkinson, Richard Allmendinger, Joshua D. Knowles
2021	B	`conf`	Deep Optimisation: Multi-scale Evolution by Inducing and Searching in Deep Representations. EvoApplications Jamie Caldwell, Joshua D. Knowles, Christoph Thies, Filip Kubacki, Richard A. Watson
2021	J	`jnl`	Heterogeneous Objectives: State-of-the-Art and Future Research. CoRR Richard Allmendinger, Joshua D. Knowles
2021	A	`conf`	Realistic utility functions prove difficult for state-of-the-art interactive multiobjective optimization algorithms. GECCO Seyed Mahdi Shavarani, Manuel López-Ibáñez, Joshua D. Knowles
2018	J	`jnl`	An Improved and More Scalable Evolutionary Approach to Multiobjective Clustering. IEEE Trans. Evol. Comput. Mario Garza-Fabre, Julia Handl, Joshua D. Knowles
2018	J	`jnl`	Deep Optimisation: Solving Combinatorial Optimisation Problems using Deep Neural Networks. CoRR J. R. Caldwell, Richard A. Watson, Christoph Thies, Joshua D. Knowles
2018	J	`jnl`	Personalized Multiobjective Optimization: An Analytics Perspective (Dagstuhl Seminar 18031). Dagstuhl Reports Kathrin Klamroth, Joshua D. Knowles, Günter Rudolph, Margaret M. Wiecek
2017	C	`conf`	A New Reduced-Length Genetic Representation for Evolutionary Multiobjective Clustering. EMO Mario Garza-Fabre, Julia Handl, Joshua D. Knowles
2017	J	`jnl`	Editorial. Comput. Oper. Res. Dimo Brockhoff, Joshua D. Knowles, Boris Naujoks, Karthik Sindhya
2017	—	`ch.`	Evolutionary Clustering. Encyclopedia of Machine Learning and Data Mining David W. Corne, Julia Handl, Joshua D. Knowles
2017	C	`conf`	On Using Decision Maker Preferences with ParEGO. EMO Jussi Hakanen, Joshua D. Knowles
2017	J	`jnl`	Rapid Skill Capture in a First-Person Shooter. IEEE Trans. Comput. Intell. AI Games David L. Buckley, Ke Chen, Joshua D. Knowles
2017	—	`conf`	Sequential experimentation by evolutionary algorithms. GECCO (Companion) Ofer M. Shir, Thomas Bäck, Joshua D. Knowles, Richard Allmendinger
2016	J	`jnl`	A minimal model for the emergence of cooperation in randomly growing networks. CoRR Steve Miller, Joshua D. Knowles
2016	J	`jnl`	Generating, Maintaining, and Exploiting Diversity in a Memetic Algorithm for Protein Structure Prediction. Evol. Comput. Mario Garza-Fabre, Shaun M. Kandathil, Julia Handl, Joshua D. Knowles, Simon C. Lovell
2016	—	`conf`	Global Network Cooperation Catalysed by a Small Prosocial Migrant Clique. UCNC Steve Miller, Joshua D. Knowles
2016	J	`jnl`	Global network cooperation catalysed by a small prosocial migrant clique. CoRR Steve Miller, Joshua D. Knowles
2016	—	`conf`	Simheuristics for the Multiobjective Nondeterministic Firefighter Problem in a Time-Constrained Setting. EvoApplications (2) Krzysztof Michalak, Joshua D. Knowles
2016	—	`conf`	The Emergence of Cooperation in Public Goods Games on Randomly Growing Dynamic Networks. EvoApplications (1) Steve Miller, Joshua D. Knowles
2016	J	`jnl`	The Emergence of Cooperation in Public Goods Games on Randomly-Growing Dynamic Networks. CoRR Steve Miller, Joshua D. Knowles
2015	—	`conf`	A Minimal Model for the Emergence of Cooperation in Randomly Growing Networks. ECAL Steve Miller, Joshua D. Knowles
2015	—	`conf`	How Much Should You Select for Evolvability? ECAL Andrew M. Webb, Julia Handl, Joshua D. Knowles
2015	J	`jnl`	MUSCLE: automated multi-objective evolutionary optimization of targeted LC-MS/MS analysis. Bioinform. James Bradbury, Grégory Genta-Jouve, James William Allwood, Warwick B. Dunn, Royston Goodacre, Joshua D. Knowles, Shan He, Mark R. Viant
2015	—	`conf`	Machine Decision Makers as a Laboratory for Interactive EMO. EMO (2) Manuel López-Ibáñez, Joshua D. Knowles
2015	J	`jnl`	Multiobjective optimization: When objectives exhibit non-uniform latencies. Eur. J. Oper. Res. Richard Allmendinger, Julia Handl, Joshua D. Knowles
2015	J	`jnl`	Understanding Complexity in Multiobjective Optimization (Dagstuhl Seminar 15031). Dagstuhl Reports Salvatore Greco, Kathrin Klamroth, Joshua D. Knowles, Günter Rudolph
2015	—	`conf`	Using Machine Learning to Explore the Relevance of Local and Global Features During Conformational Search in Rosetta. GECCO (Companion) Mario Garza-Fabre, Shaun M. Kandathil, Julia Handl, Joshua D. Knowles, Simon C. Lovell
2014	B	`conf`	Hellinger Distance Trees for Imbalanced Streams. ICPR Robert J. Lyon, J. M. Brooke, Joshua D. Knowles, Benjamin W. Stappers
2014	J	`jnl`	Hellinger Distance Trees for Imbalanced Streams. CoRR Robert J. Lyon, J. M. Brooke, Joshua D. Knowles, Benjamin W. Stappers
2014	J	`jnl`	Population Fluctuation Promotes Cooperation in Networks. CoRR Steve Miller, Joshua D. Knowles
2014	J	`jnl`	Rapid Skill Capture in a First-Person Shooter. CoRR David L. Buckley, Ke Chen, Joshua D. Knowles
2014	C	`conf`	Studying the Evolvability of of Self-Encoding Genotype-Phenotype Maps. ALIFE Andrew M. Webb, Joshua D. Knowles
2013	C	`conf`	'Hang On a Minute': Investigations on the Effects of Delayed Objective Functions in Multiobjective Optimization. EMO Richard Allmendinger, Joshua D. Knowles
2013	B	`conf`	A Study on Classification in Imbalanced and Partially-Labelled Data Streams. SMC Robert J. Lyon, J. M. Brooke, Joshua D. Knowles, Benjamin W. Stappers
2013	J	`jnl`	A Study on Classification in Imbalanced and Partially-Labelled Data Streams. CoRR Robert J. Lyon, J. M. Brooke, Joshua D. Knowles, Benjamin W. Stappers
2013	J	`jnl`	Accuracy and tractability of a kriging model of intramolecular polarizable multipolar electrostatics and its application to histidine. J. Comput. Chem. Shaun M. Kandathil, Timothy L. Fletcher, Yongna Yuan, Joshua D. Knowles, Paul L. A. Popelier
2013	A	`conf`	Comparing multi-objective and threshold-moving ROC curve generation for a prototype-based classifier. GECCO Ricardo Aler, Julia Handl, Joshua D. Knowles
2013	C	`conf`	Evidence Accumulation in Multiobjective Data Clustering. EMO Julia Handl, Joshua D. Knowles
2013	J	`jnl`	On Handling Ephemeral Resource Constraints in Evolutionary Search. Evol. Comput. Richard Allmendinger, Joshua D. Knowles
2013	—	`conf`	Predicting skill from gameplay input to a first-person shooter. CIG David L. Buckley, Ke Chen, Joshua D. Knowles
2013	B	`conf`	Systematic construction of algorithm portfolios for a Maintenance Scheduling Problem. IEEE Congress on Evolutionary Computation Ahmad Almakhlafi, Joshua D. Knowles
2012	B	`conf`	Benchmarks for maintenance scheduling problems in power generation. IEEE Congress on Evolutionary Computation Ahmad Almakhlafi, Joshua D. Knowles
2012	—	`conf`	Clustering Criteria in Multiobjective Data Clustering. PPSN (2) Julia Handl, Joshua D. Knowles
2012	J	`jnl`	Learning in Multiobjective Optimization (Dagstuhl Seminar 12041). Dagstuhl Reports Salvatore Greco, Joshua D. Knowles, Kaisa Miettinen, Eckart Zitzler
2012	—	`ch.`	Selected Aspects of Natural Computing. Handbook of Natural Computing David W. Corne, Kalyanmoy Deb, Joshua D. Knowles, Xin Yao
2011	—	`conf`	Evolutionary Search in Lethal Environments. IJCCI (ECTA-FCTA) Richard Allmendinger, Joshua D. Knowles
2011	C	`conf`	On Sequential Online Archiving of Objective Vectors. EMO Manuel López-Ibáñez, Joshua D. Knowles, Marco Laumanns
2011	A	`conf`	Policy learning in resource-constrained optimization. GECCO Richard Allmendinger, Joshua D. Knowles
2010	—	`ch.`	Evolutionary Clustering. Encyclopedia of Machine Learning David Corne, Julia Handl, Joshua D. Knowles
2010	—	`conf`	Evolutionary Optimization on Problems Subject to Changes of Variables. PPSN (2) Richard Allmendinger, Joshua D. Knowles
2010	—	`conf`	Experimental optimization by evolutionary algorithms. GECCO (Companion) Thomas Bäck, Joshua D. Knowles, Ofer M. Shir
2010	—	`conf`	On-Line Purchasing Strategies for an Evolutionary Algorithm Performing Resource-Constrained Optimization. PPSN (2) Richard Allmendinger, Joshua D. Knowles
2010	J	`jnl`	Predictive models for population performance on real biological fitness landscapes. Bioinform. William Rowe, David C. Wedge, Mark Platt, Douglas B. Kell, Joshua D. Knowles
2010	J	`jnl`	Swarm intelligence theory: A snapshot of the state of the art. Theor. Comput. Sci. Eric Bonabeau, David W. Corne, Joshua D. Knowles, Riccardo Poli
2009	—	`conf`	09041 Working Group on EMO for Robust Multiobjective Optimization (1st Round). Hybrid and Robust Approaches to Multiobjective Optimization 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
2009	J	`jnl`	Artefacts and biases affecting the evaluation of scoring functions on decoy sets for protein structure prediction. Bioinform. Julia Handl, Joshua D. Knowles, Simon C. Lovell
2009	J	`jnl`	Closed-loop evolutionary multiobjective optimization. IEEE Comput. Intell. Mag. Joshua D. Knowles
2009	C	`conf`	Noisy Multiobjective Optimization on a Budget of 250 Evaluations. EMO Joshua D. Knowles, David Corne, Alan P. Reynolds
2009	J	`jnl`	Techniques for Highly Multiobjective Optimisation: Some Nondominated Points are Better than Others CoRR David W. Corne, Joshua D. Knowles
2008	—	`ch.`	Introduction: Problem Solving, EC and EMO. Multiobjective Problem Solving from Nature Joshua D. Knowles, David Corne, Kalyanmoy Deb
2008	A	`conf`	Investigations into the Effect of Multiobjectivization in Protein Structure Prediction. PPSN Julia Handl, Simon C. Lovell, Joshua D. Knowles
2008	—	`conf`	Meta-Modeling in Multiobjective Optimization. Multiobjective Optimization Joshua D. Knowles, Hirotaka Nakayama
2008	—	`ch.`	Modes of Problem Solving with Multiple Objectives: Implications for Interpreting the Pareto Set and for Decision Making. Multiobjective Problem Solving from Nature Julia Handl, Joshua D. Knowles
2008	—	`conf`	Molecular Structure Elucidation Using Ant Colony Optimization: A Preliminary Study. ANTS Conference Caroline Farrelly, Douglas B. Kell, Joshua D. Knowles
2008	—	`book`	Multiobjective Problem Solving from Nature Joshua D. Knowles, David Corne, Kalyanmoy Deb
2008	A	`conf`	Multiobjectivization by Decomposition of Scalar Cost Functions. PPSN Julia Handl, Simon C. Lovell, Joshua D. Knowles
2008	—	`conf`	Priority Elicitation in the AHP by a Pareto Envelope-Based Selection Algorithm. MCDM Ludmil Mikhailov, Joshua D. Knowles
2008	—	`conf`	Quality Assessment of Pareto Set Approximations. Multiobjective Optimization Eckart Zitzler, Joshua D. Knowles, Lothar Thiele
2008	J	`jnl`	The landscape adaptive particle swarm optimizer. Appl. Soft Comput. Yisu Jin, Joshua D. Knowles, Hongmei Lu, Yizeng Liang, Douglas B. Kell
2007	J	`jnl`	An Evolutionary Approach to Multiobjective Clustering. IEEE Trans. Evol. Comput. Julia Handl, Joshua D. Knowles
2007	J	`jnl`	Multiobjective Optimization in Bioinformatics and Computational Biology. IEEE ACM Trans. Comput. Biol. Bioinform. Julia Handl, Douglas B. Kell, Joshua D. Knowles
2007	C	`conf`	Quantifying the Effects of Objective Space Dimension in Evolutionary Multiobjective Optimization. EMO Joshua D. Knowles, David Corne
2007	A	`conf`	Techniques for highly multiobjective optimisation: some nondominated points are better than others. GECCO David W. Corne, Joshua D. Knowles
2006	A	`conf`	An Investigation of Representations and Operators for Evolutionary Data Clustering with a Variable Number of Clusters. PPSN Julia Handl, Joshua D. Knowles
2006	J	`jnl`	Ant-Based Clustering and Topographic Mapping. Artif. Life Julia Handl, Joshua D. Knowles, Marco Dorigo
2006	—	`ch.`	Multi-Objective Clustering and Cluster Validation. Multi-Objective Machine Learning Julia Handl, Joshua D. Knowles
2006	A	`conf`	On semi-supervised clustering via multiobjective optimization. GECCO Julia Handl, Joshua D. Knowles
2006	J	`jnl`	ParEGO: a hybrid algorithm with on-line landscape approximation for expensive multiobjective optimization problems. IEEE Trans. Evol. Comput. Joshua D. Knowles
2006	B	`conf`	Predicting Stochastic Search Algorithm Performance using Landscape State Machines. IEEE Congress on Evolutionary Computation William Rowe, David Corne, Joshua D. Knowles
2006	B	`conf`	Semi-supervised feature selection via multiobjective optimization. IJCNN Julia Handl, Joshua D. Knowles
2005	C	`conf`	A summary-attainment-surface plotting method for visualizing the performance of stochastic multiobjective optimizers. ISDA Joshua D. Knowles
2005	J	`jnl`	Computational cluster validation in post-genomic data analysis. Bioinform. Julia Handl, Joshua D. Knowles, Douglas B. Kell
2005	C	`conf`	Exploiting the Trade-off - The Benefits of Multiple Objectives in Data Clustering. EMO Julia Handl, Joshua D. Knowles
2005	B	`conf`	Improvements to the scalability of multiobjective clustering. Congress on Evolutionary Computation Julia Handl, Joshua D. Knowles
2005	J	`jnl`	Local search for the probabilistic traveling salesman problem: Correction to the 2-p-opt and 1-shift algorithms. Eur. J. Oper. Res. Leonora Bianchi, Joshua D. Knowles, Neill Bowler
2005	C	`conf`	Multiobjective Optimization on a Budget of 250 Evaluations. EMO Joshua D. Knowles, Evan J. Hughes
2005	B	`conf`	Multiobjective clustering around medoids. Congress on Evolutionary Computation Julia Handl, Joshua D. Knowles
2004	—	`ch.`	Bounded Pareto Archiving: Theory and Practice. Metaheuristics for Multiobjective Optimisation Joshua D. Knowles, David Corne
2004	A	`conf`	Evolutionary Multiobjective Clustering. PPSN Julia Handl, Joshua D. Knowles
2003	B	`conf`	Bounded archiving using the lebesgue measure. IEEE Congress on Evolutionary Computation Joshua D. Knowles, David W. Corne, M. Fleischer
2003	C	`conf`	Instance Generators and Test Suites for the Multiobjective Quadratic Assignment Problem. EMO Joshua D. Knowles, David Corne
2003	C	`conf`	No Free Lunch and Free Leftovers Theorems for Multiobjective Optimisation Problems. EMO David Corne, Joshua D. Knowles
2003	C	`conf`	On the Performance of Ant-based Clustering. HIS Julia Handl, Joshua D. Knowles, Marco Dorigo
2003	J	`jnl`	Properties of an adaptive archiving algorithm for storing nondominated vectors. IEEE Trans. Evol. Comput. Joshua D. Knowles, David Corne
2003	B	`conf`	Some multiobjective optimizers are better than others. IEEE Congress on Evolutionary Computation David Corne, Joshua D. Knowles
2003	—	`conf`	Strategies for the Increased Robustness of Ant-Based Clustering. Engineering Self-Organising Systems Julia Handl, Joshua D. Knowles, Marco Dorigo
2002	C	`conf`	A Comparison of the Performance of Different Metaheuristics on the Timetabling Problem. PATAT 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
2002	—	`conf`	A MAX-MIN Ant System for the University Course Timetabling Problem. Ant Algorithms Krzysztof Socha, Joshua D. Knowles, Michael Sampels
2002	J	`jnl`	Enumeration of Pareto optimal multi-criteria spanning trees - a proof of the incorrectness of Zhou and Gen's proposed algorithm. Eur. J. Oper. Res. Joshua D. Knowles, David W. Corne
2002	—	`—`	Local-search and hybrid evolutionary algorithms for Pareto optimization. Joshua D. Knowles
2002	B	`conf`	On metrics for comparing nondominated sets. IEEE Congress on Evolutionary Computation Joshua D. Knowles, David Corne
2002	A	`conf`	On the Utility of Redundant Encodings in Mutation-Based Evolutionary Search. PPSN Joshua D. Knowles, Richard A. Watson
2002	C	`conf`	Towards Landscape Analyses to Inform the Design of Hybrid Local Search for the Multiobjective Quadratic Assignment Problem. HIS Joshua D. Knowles, David Corne
2001	B	`conf`	A comparison of encodings and algorithms for multiobjective minimum spanning tree problems. CEC Joshua D. Knowles, David W. Corne
2001	C	`conf`	Reducing Local Optima in Single-Objective Problems by Multi-objectivization. EMO Joshua D. Knowles, Richard A. Watson, David Corne
2000	J	`jnl`	A new evolutionary approach to the degree-constrained minimum spanning tree problem. IEEE Trans. Evol. Comput. Joshua D. Knowles, David Corne
2000	J	`jnl`	Approximating the Nondominated Front Using the Pareto Archived Evolution Strategy. Evol. Comput. Joshua D. Knowles, David Corne
2000	A	`conf`	Heuristics for Evolutionary Off-line Routing in Telecommunication Networks. GECCO Joshua D. Knowles, David Corne
2000	B	`conf`	M-PAES: a memetic algorithm for multiobjective optimization. CEC Joshua D. Knowles, David W. Corne
2000	A	`conf`	On the Assessment of Multiobjective Approaches to the Adaptive Distributed Database Management Problem. PPSN Joshua D. Knowles, David Corne, Martin J. Oates
2000	A	`conf`	The Pareto Envelope-Based Selection Algorithm for Multi-objective Optimisation. PPSN David Corne, Joshua D. Knowles, Martin J. Oates
1999	B	`conf`	The Pareto archived evolution strategy: a new baseline algorithm for Pareto multiobjective optimisation. CEC Joshua D. Knowles, David Corne