Tabu search metaheuristics have been developed for decades, making them one of the most widely applied metaheuristic frameworks. Although a standard tabu search framework can offer interesting performance, the effectiveness of a tabu search metaheuristic can be strongly improved by specific implementation features and speed-up strategies that are often overlooked in standard implementations. This presentation discusses a number of speed-up strategies and provides computational results on their effectiveness.
|Title of host publication||The European conference for Operational Research and Management Science|
|Place of Publication||Glasgow, U.K.|
|Publication status||Published - 12 Jul 2015|