Global ETD Search
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Showing 1 to 6 of 6 for “"Discrete Optimisation"”.
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The Plant Propagation Algorithm for Discrete Optimisation
… heuristics for the so called NP-hard problems of optimisation. A particular algorithm which has been recently introduced and shown to be effective in continuous optimisation is the Plant Propagation Algorithm or PPA. Here, we intend to extend it to cope with combinatorial optimisation. In order to …
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New variants of variable neighbourhood search for 0-1 mixed integer programming and clustering
Many real-world optimisation problems are discrete in nature. Although recent rapid developments in computer technologies are steadily increasing the speed of computations, the size of an instance of a hard discrete optimisation problem solvable in prescribed time does not increase linearly with …
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Exploiting machine learning for combinatorial problem solving and optimisation
… extend this multi-representation portfolio for discrete optimisation tasks in the graphical models domain, realising a portfolio which won the UAI 2014 Inference Competition. We identify a fundamental flaw in empirical evaluations of many portfolio and runtime prediction methods. The fact that …
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Examining the Factors Influencing Bikeshare Use in the UK: Implications for Scheme Planning
… approach, integrating statistical analysis and discrete optimisation to inform bikeshare planning, which is validated with practitioner interviews. Existing bikeshare planning guidelines often lack specificity regarding local urban context. To address this, urban morphology data is integrated to …
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Tactical Problems in Vehicle Routing Applications
… these two components is challenging, and optimisation models can lead to substantial savings or provide a useful basis for informed decisions. The second problem presented focuses on the use of a split deliveries policy in multi-period routing problems. It is known that the combined …
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Tactical Problems in Vehicle Routing Applications
… these two components is challenging, and optimisation models can lead to substantial savings or provide a useful basis for informed decisions. The second problem presented focuses on the use of a split deliveries policy in multi-period routing problems. It is known that the combined …