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Evan James Hughes
List of publications from the DBLP Bibliography Server - FAQ
| 2011 | ||
|---|---|---|
| 13 | Evan James Hughes: Many-objective directed evolutionary line search. GECCO 2011: 761-768 | |
| 2008 | ||
| 12 | Evan J. Hughes: Many Objective Optimisation: Direct Objective Boundary Identification. PPSN 2008: 733-742 | |
| 2007 | ||
| 11 | Evan J. Hughes: MSOPS-II: A general-purpose Many-Objective optimiser. IEEE Congress on Evolutionary Computation 2007: 3944-3951 | |
| 2006 | ||
| 10 | Evan J. Hughes: Radar Waveform Optimisation as a Many-Objective Application Benchmark. EMO 2006: 700-714 | |
| 9 | Evan J. Hughes: Multi-Objective Equivalent Random Search. PPSN 2006: 463-472 | |
| 2005 | ||
| 8 | Evan J. Hughes: Checkers using a co-evolutionary on-line evolutionary algorithm. Congress on Evolutionary Computation 2005: 1899-1905 | |
| 7 | Evan J. Hughes: Evolutionary many-objective optimisation: many once or one many? Congress on Evolutionary Computation 2005: 222-227 | |
| 6 | Joshua D. Knowles, Evan J. Hughes: Multiobjective Optimization on a Budget of 250 Evaluations. EMO 2005: 176-190 | |
| 2003 | ||
| 5 | Evan J. Hughes: Multi-objective Binary Search Optimisation. EMO 2003: 102-117 | |
| 2001 | ||
| 4 | Evan J. Hughes: Evolutionary Multi-objective Ranking with Uncertainty and Noise. EMO 2001: 329-343 | |
| 3 | Anna L. Blumel, Evan J. Hughes, Brian A. White: Multi-objective Evolutionary Design of Fuzzy Autopilot Controller. EMO 2001: 668-680 | |
| 2000 | ||
| 2 | Larry Hughes, Omid Banyasad, Evan J. Hughes: Cartesian routing. Computer Networks 34(3): 455-466 (2000) | |
| 1 | Evan J. Hughes, Maurice Leyland: Using multiple genetic algorithms to generate radar point-scatterer models. IEEE Trans. Evolutionary Computation 4(2): 147-163 (2000) | |
| 1 | Omid Banyasad | [2] |
| 2 | Anna L. Blumel | [3] |
| 3 | Larry Hughes | [2] |
| 4 | Joshua D. Knowles | [6] |
| 5 | Maurice Leyland | [1] |
| 6 | Brian A. White | [3] |
Colors in the list of coauthors
Last update Thu May 31 18:55:10 2012 CET by the DBLP Team —
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