Timothy Rawlins

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Different evolutionary algorithms, by their very nature, will have different search trajectory characteristics. Understanding these particularly for real world problems gives researchers and practitioners valuable insights into potential problem domains for the various algorithms, as well as an understanding for potential hybridisation. In this study, we(More)
—Population-based, multi-objective optimisation algorithms are increasingly making use of distributed, parallel computing environments. In these cases it is a commonsense precaution to consider the possibility of a variety of failures. In particular, errors caused by response failures are more prone to arise than in homogeneous parallel computers. While(More)
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