This paper presents an investigation of two search techniques, tabu search (TS) and simulated annealing (SA), to assess their relative merits when applied to engineering design optimisation. Design optimisation problems are generally characterised as having multi-modal search spaces and discontinuities making global optimisation techniques beneficial. Both techniques claim to be capable of loca...

Dimension reduction and manifold learning play an important role in robotics, multimedia processing and data mining. For these tasks strong methods like Unsupervised Kernel Regression [4, 7] or Gaussian Process Latent Variable Models [5, 6] have been proposed in the last years. But many methods suffer from numerous local optima and crucial parameter dependencies. We use advanced methods from st...

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