Search Results - "Hughes, Evan J."

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  1. 1

    Using multiple genetic algorithms to generate radar point-scatterer models by Hughes, E.J., Leyland, M.

    “…This paper covers the use of three different genetic algorithms applied sequentially to radar cross-section data to generate point-scatterer models. The aim is…”
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    Journal Article
  2. 2

    MSOPS-II: A general-purpose Many-Objective optimiser by Hughes, E.J.

    “…Existing evolutionary methods capable of true many-objective optimisation have been limited in their application: for example either initial search directions…”
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    Conference Proceeding
  3. 3

    Evolutionary many-objective optimisation: many once or one many? by Hughes, E.J.

    “…Multi-objective evolutionary algorithms are widely established and well developed for problems with two or three objectives. However, it is known that for…”
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    Conference Proceeding
  4. 4

    Arbitrary pulsed radar waveform by Alabaster, Clive M., Hughes, Evan J.

    “…This paper describes the design of a very short pulsed radar waveform in which all the pulsed parameters may be designed so as to support pulse Doppler…”
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    Conference Proceeding
  5. 5

    Is it a bird or is it a plane? by Alabaster, Clive M., Hughes, Evan J., Forman, Dan W.

    “…This paper describes the application of low-cost radar technology for the detection and analysis of the Doppler signatures of wild life, in particular birds…”
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    Conference Proceeding
  6. 6

    A virtual target radar system for small arms fire training by Alabaster, Clive M., Hughes, Evan J., Flores-Tapia, Daniel

    Published in 2013 International Conference on Radar (01-09-2013)
    “…This paper describes the development of a novel radar system acting as a virtual target to assist in the training of a marksman. It provides the miss distance…”
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    Conference Proceeding
  7. 7

    Examination of the Effect of Array Weighting Function on Radar Target Detectability by Alabaster, C M, Hughes, E J

    “…A methodology is described to assess the detectability of targets by an airborne fire control radar (FCR) operating in a medium pulse-repetition frequency…”
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    Journal Article
  8. 8

    Swarm guidance using a multi-objective co-evolutionary on-Line evolutionary algorithm by Hughes, E.J.

    “…This paper details the application of a multi-objective cooperative co-evolutionary on-line EA (MOC-COLEA) to the guidance of a swarm of multiple missiles,…”
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    Conference Proceeding
  9. 9

    Fuzzy multi-objective design for a lateral missile autopilot by Tsourdos, Antonios, Hughes, Evan J., White, Brian A.

    Published in Control engineering practice (01-05-2006)
    “…Gain scheduled control is one very useful control technique for linear parameter-varying (LPV) and nonlinear systems. A disadvantage of gain-scheduled control…”
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    Journal Article
  10. 10

    Performance comparison of PRF schedules for medium PRF radar by Wiley, D., Parry, S., Alabaster, C., Hughes, E.

    “…Previous work has shown how evolutionary algorithms (EAs) are an effective tool in optimising the selection of pulse repetition frequency (PRF) values of…”
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    Journal Article
  11. 11

    Assessing Robustness of Optimisation Performance for Problems With Expensive Evaluation Functions by Hughes, E.J.

    “…In complex engineering problems, the objective functions can be very slow to evaluate, restricting the optimisation process to only a few hundred objective…”
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    Conference Proceeding
  12. 12

    Simultaneous detection and parameter estimation of multiple nonlinear acoustic chirps by Dhanoa, Jasdeep S., Hughes, Evan J., Ormondroyd, Richard F.

    “…Historically, short-time spectral analysis using the Fourier transform and its variants has been the primary method for time-frequency analysis. Recently,…”
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    Journal Article
  13. 13

    Medium PRF set selection using evolutionary algorithms by Davies, P.G., Hughes, E.J.

    “…This paper presents a new and novel method of selecting multiple pulse repetition frequency (PRF) sets for use in medium PRF pulsed-Doppler radars…”
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    Journal Article
  14. 14

    Reliable Doppler-spread estimation using an evolutionary algorithm for underwater acoustic communications over channels with frequency-selective fading by Dhanoa, Jasdeep S., Ormondroyd, Richard F., Hughes, Evan J.

    “…There is a pressing need for reliable wideband underwater acoustic communication for enhanced performance of diver communications, underwater networks, control…”
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    Journal Article
  15. 15

    Checkers using a co-evolutionary on-line evolutionary algorithm by Hughes, E.J.

    “…The game of checkers has been well studied and many computer players exist. The vast majority of these 'software opponents' use a minimax strategy combined…”
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    Conference Proceeding
  16. 16

    A novel mathematical approach for the problem of CFAR clutter model approximation by Marino, G., Hughes, E. J.

    “…Automatic Target Recognition (ATR) in Synthetic Aperture Radar (SAR) is a set of techniques which are able to detect, discriminate and classify objects present…”
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    Conference Proceeding
  17. 17

    Multi-objective evolutionary guidance for swarms by Hughes, E.J.

    “…A novel approach for generating optimal flight paths for a swarm of missiles using an on-line, noise-aware, multi-objective evolutionary algorithm is…”
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    Conference Proceeding
  18. 18

    Evolutionary algorithm with a novel insertion operator for optimising noisy functions by Hughes, E.J.

    “…As more complex engineering optimisation problems are being tackled, optimisation algorithms are being stretched to their limits. The simulations are often…”
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    Conference Proceeding
  19. 19

    Parametric spectral analysis of multiple nonlinear chirps using evolutionary algorithms by Dhanoa, J.S., Hughes, E.J., Ormondroyd, R.F.

    “…This paper describes a new parametric method of spectral analysis of complex signals which may contain multiple, overlapping, nonlinear and linear chirps. The…”
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    Conference Proceeding
  20. 20

    Novel PRF schedules for medium PRF radar by Hughes, E.J., Alabaster, C.M.

    “…Previous work has demonstrated that evolutionary algorithms (EAs) are an effective tool for the selection of optimal pulse repetition frequency (PRF) sets to…”
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    Conference Proceeding