Automatically improving the anytime behaviour of optimisation algorithms

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Automatically improving the anytime behaviour of optimisation algorithms

Optimisation algorithms with good anytime behaviour try to return as high-quality solutions as possible independently of the computation time allowed. Designing algorithms with good anytime behaviour is a difficult task, because performance is often evaluated subjectively, by plotting the trade-off curve between computation time and solution quality. Yet, the trade-off curve may be modelled als...

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Automatically Improving the Anytime Behaviour of Optimisation Algorithms: Supplementary material

Optimisation algorithms with good anytime behaviour try to return as high-quality solutions as possible independently of the computation time allowed. Designing algorithms with good anytime behaviour is a difficult task, because performance is often evaluated subjectively, by plotting the trade-off curve between computation time and solution quality. Yet, the trade-off curve may be modelled als...

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Abstract. An algorithm that returns as low-cost solutions as possible at any moment of its execution is said to have a good anytime behaviour. The problem of optimising anytime behaviour can be modelled as a biobjective non-dominated front, where the goal is to minimise both time and cost. Using a unary quality measure such as the hypervolume indicator, the analysis of the anytime behaviour can...

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ژورنال

عنوان ژورنال: European Journal of Operational Research

سال: 2014

ISSN: 0377-2217

DOI: 10.1016/j.ejor.2013.10.043