Search


Current filters:

Start a new search
Add filters:

Use filters to refine the search results.


Results 21-30 of 39 (Search time: 0.002 seconds).
Item hits:
PreviewIssue DateTitleAuthor(s)
2014A comprehensive benchmark set and heuristics for the traveling thief problemPolyakovskiy, S.; Bonyadi, M.; Wagner, M.; Michalewicz, Z.; Neumann, F.; Igel, C.; 2014 Genetic and Evolutionary Computation Conference (GECCO 2014) (12 Jul 2014 - 16 Jul 2014 : Vancouver, Canada)
2015Efficient optimization of many objectives by approximation-guided evolutionWagner, M.; Bringmann, K.; Friedrich, T.; Neumann, F.
2013A novel feature-based approach to characterize algorithm performance for the traveling salesperson problemMersmann, O.; Bischl, B.; Trautmann, H.; Wagner, M.; Bossek, J.; Neumann, F.
2015Analyzing the effects of instance features and algorithm parameters for max-min ant system and the traveling salesperson problemNallaperuma, S.; Wagner, M.; Neumann, F.
2015On the performance of different genetic programming approaches for the SORTING problemWagner, M.; Neumann, F.; Urli, T.
2013A fast and effective local search algorithm for optimizing the placement of wind turbinesWagner, M.; Day, J.; Neumann, F.
2013Predicting the energy output of wind farms based on weather data: important variables and their correlationVladislavleva, E.; Friedrich, T.; Neumann, F.; Wagner, M.
2013Evolving pacing strategies for team pursuit track cyclingWagner, M.; Day, J.; Jordan, C.; Kroeger, T.; Neumann, F.; Metaheuristics International Conference (9th : 2011 : Udine, Italy)
2011Computational Complexity Analysis of Genetic Programming - Initial Results and Future DirectionsNeumann, F.; O'Reilly, U.; Wagner, M.; Riolo, R.; Vladislavleva, E.; Moore, J.
2012Optimizing energy output and layout costs for large wind farms using particle swarm optimizationVeeramachaneni, K.; Wagner, M.; O'Reilly, U.; Neumann, F.; IEEE Congress on Evolutionary Computation (2012 : Brisbane, Qld.)