Joshua D. Knowles

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40EEJoshua D. Knowles, David Corne, Alan Reynolds: Noisy Multiobjective Optimization on a Budget of 250 Evaluations. EMO 2009: 36-50
39EECaroline Farrelly, Douglas B. Kell, Joshua D. Knowles: Molecular Structure Elucidation Using Ant Colony Optimization: A Preliminary Study. ANTS Conference 2008: 120-131
38EEJoshua D. Knowles, Hirotaka Nakayama: Meta-Modeling in Multiobjective Optimization. Multiobjective Optimization 2008: 245-284
37EEEckart Zitzler, Joshua D. Knowles, Lothar Thiele: Quality Assessment of Pareto Set Approximations. Multiobjective Optimization 2008: 373-404
36EEJulia Handl, Simon C. Lovell, Joshua D. Knowles: Multiobjectivization by Decomposition of Scalar Cost Functions. PPSN 2008: 31-40
35EEJulia Handl, Simon C. Lovell, Joshua D. Knowles: Investigations into the Effect of Multiobjectivization in Protein Structure Prediction. PPSN 2008: 702-711
34EEJin Yisu, Joshua D. Knowles, Hongmei Lu, Yizeng Liang, Douglas B. Kell: The landscape adaptive particle swarm optimizer. Appl. Soft Comput. 8(1): 295-304 (2008)
33EEDavid W. Corne, Joshua D. Knowles: Techniques for highly multiobjective optimisation: some nondominated points are better than others. GECCO 2007: 773-780
32EEJulia Handl, Joshua D. Knowles: An Evolutionary Approach to Multiobjective Clustering. IEEE Trans. Evolutionary Computation 11(1): 56-76 (2007)
31EEJulia Handl, Douglas B. Kell, Joshua D. Knowles: Multiobjective Optimization in Bioinformatics and Computational Biology. IEEE/ACM Trans. Comput. Biology Bioinform. 4(2): 279-292 (2007)
30EEJoshua D. Knowles, David Corne: Quantifying the Effects of Objective Space Dimension in Evolutionary Multiobjective Optimization. EMO 2006: 757-771
29EEJulia Handl, Joshua D. Knowles: On semi-supervised clustering via multiobjective optimization. GECCO 2006: 1465-1472
28EEJulia Handl, Joshua D. Knowles: Semi-supervised feature selection via multiobjective optimization. IJCNN 2006: 3319-3326
27EEJulia Handl, Joshua D. Knowles: An Investigation of Representations and Operators for Evolutionary Data Clustering with a Variable Number of Clusters. PPSN 2006: 839-849
26EEJulia Handl, Joshua D. Knowles: Multi-Objective Clustering and Cluster Validation. Multi-Objective Machine Learning 2006: 21-47
25EEJulia Handl, Joshua D. Knowles, Marco Dorigo: Ant-Based Clustering and Topographic Mapping. Artificial Life 12(1): 35-62 (2006)
24EEJulia Handl, Joshua D. Knowles: Improvements to the scalability of multiobjective clustering. Congress on Evolutionary Computation 2005: 2372-2379
23EEJulia Handl, Joshua D. Knowles: Multiobjective clustering around medoids. Congress on Evolutionary Computation 2005: 632-639
22EEJoshua D. Knowles, Evan J. Hughes: Multiobjective Optimization on a Budget of 250 Evaluations. EMO 2005: 176-190
21EEJulia Handl, Joshua D. Knowles: Exploiting the Trade-off - The Benefits of Multiple Objectives in Data Clustering. EMO 2005: 547-560
20EEJoshua D. Knowles: A summary-attainment-surface plotting method for visualizing the performance of stochastic multiobjective optimizers. ISDA 2005: 552-557
19EEJulia Handl, Joshua D. Knowles, Douglas B. Kell: Computational cluster validation in post-genomic data analysis. Bioinformatics 21(15): 3201-3212 (2005)
18EELeonora Bianchi, Joshua D. Knowles, Neill Bowler: Local search for the probabilistic traveling salesman problem: Correction to the 2-p-opt and 1-shift algorithms. European Journal of Operational Research 162(1): 206-219 (2005)
17EEJulia Handl, Joshua D. Knowles: Evolutionary Multiobjective Clustering. PPSN 2004: 1081-1091
16EEJoshua D. Knowles, David Corne: Instance Generators and Test Suites for the Multiobjective Quadratic Assignment Problem. EMO 2003: 295-310
15EEDavid Corne, Joshua D. Knowles: No Free Lunch and Free Leftovers Theorems for Multiobjective Optimisation Problems. EMO 2003: 327-341
14EEJulia Handl, Joshua D. Knowles, Marco Dorigo: Strategies for the Increased Robustness of Ant-Based Clustering. Engineering Self-Organising Systems 2003: 90-104
13 Julia Handl, Joshua D. Knowles, Marco Dorigo: On the Performance of Ant-based Clustering. HIS 2003: 204-213
12 Joshua D. Knowles, David Corne: Properties of an adaptive archiving algorithm for storing nondominated vectors. IEEE Trans. Evolutionary Computation 7(2): 100-116 (2003)
11EEKrzysztof Socha, Joshua D. Knowles, Michael Sampels: A MAX-MIN Ant System for the University Course Timetabling Problem. Ant Algorithms 2002: 1-13
10 Joshua D. Knowles, David Corne: Towards Landscape Analyses to Inform the Design of Hybrid Local Search for the Multiobjective Quadratic Assignment Problem. HIS 2002: 271-279
9EEOlivia Rossi-Doria, Michael Sampels, Mauro Birattari, Marco Chiarandini, Marco Dorigo, Luca Maria Gambardella, Joshua D. Knowles, Max Manfrin, Monaldo Mastrolilli, Ben Paechter, Luis Paquete, Thomas Stützle: A Comparison of the Performance of Different Metaheuristics on the Timetabling Problem. PATAT 2002: 329-354
8EEJoshua D. Knowles, Richard A. Watson: On the Utility of Redundant Encodings in Mutation-Based Evolutionary Search. PPSN 2002: 88-98
7EEJoshua 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. European Journal of Operational Research 143(3): 543-547 (2002)
6EEJoshua D. Knowles, Richard A. Watson, David Corne: Reducing Local Optima in Single-Objective Problems by Multi-objectivization. EMO 2001: 269-283
5 Joshua D. Knowles, David Corne: Heuristics for Evolutionary Off-line Routing in Telecommunication Networks. GECCO 2000: 574-581
4 David Corne, Joshua D. Knowles, Martin J. Oates: The Pareto Envelope-Based Selection Algorithm for Multi-objective Optimisation. PPSN 2000: 839-848
3 Joshua D. Knowles, David Corne, Martin J. Oates: On the Assessment of Multiobjective Approaches to the Adaptive Distributed Database Management Problem. PPSN 2000: 869-878
2 Joshua D. Knowles, David Corne: Approximating the Nondominated Front Using the Pareto Archived Evolution Strategy. Evolutionary Computation 8(2): 149-172 (2000)
1 Joshua D. Knowles, David Corne: A new evolutionary approach to the degree-constrained minimum spanning tree problem. IEEE Trans. Evolutionary Computation 4(2): 125-134 (2000)

Coauthor Index

1Leonora Bianchi [18]
2Mauro Birattari [9]
3Neill Bowler [18]
4Marco Chiarandini [9]
5David W. Corne (David Corne) [1] [2] [3] [4] [5] [6] [7] [10] [12] [15] [16] [30] [33] [40]
6Marco Dorigo [9] [13] [14] [25]
7Caroline Farrelly [39]
8Luca Maria Gambardella [9]
9Julia Handl [13] [14] [17] [19] [21] [23] [24] [25] [26] [27] [28] [29] [31] [32] [35] [36]
10Evan J. Hughes [22]
11Douglas B. Kell [19] [31] [34] [39]
12Yizeng Liang [34]
13Simon C. Lovell [35] [36]
14Hongmei Lu [34]
15Max Manfrin [9]
16Monaldo Mastrolilli [9]
17Hirotaka Nakayama [38]
18Martin J. Oates [3] [4]
19Ben Paechter [9]
20Luis Paquete [9]
21Alan Reynolds [40]
22Olivia Rossi-Doria [9]
23Michael Sampels [9] [11]
24Krzysztof Socha [11]
25Thomas Stützle [9]
26Lothar Thiele [37]
27Richard A. Watson [6] [8]
28Jin Yisu [34]
29Eckart Zitzler [37]

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Copyright © Sun May 17 03:24:02 2009 by Michael Ley (ley@uni-trier.de)