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Results 181-190 of 240 (Search time: 0.002 seconds).
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PreviewIssue DateTitleAuthor(s)
2017Ahura: a heuristic-based racer for the open racing car simulatorBonyadi, M.; Michalewicz, Z.; Nallaperuma, S.; Neumann, F.
2011Computational Complexity Analysis of Genetic Programming - Initial Results and Future DirectionsNeumann, F.; O'Reilly, U.; Wagner, M.; Riolo, R.; Vladislavleva, E.; Moore, J.
2011Computational complexity analysis of simple genetic programming on two problems modeling isolated program semanticsDurrett, G.; Neumann, F.; O'Reilly, U.; ACM SIGEVO Workshop on Foundations of Genetic Algorithms (11th : 2011 : Schwarzenberg, Austria)
2006Speeding up approximation algorithms for NP-hard spanning forest problems by multi-objective optimizationNeumann, F.; Laummans, M.; Correa, J.R.; Hevia, A.; Kiwi, M.; International Symposium on Latin American Theoretical Informatics (7th : 2006 : Valdivia, Chile)
2010Bioinspired computation in combinatorial optimization : algorithms and their computational complexityNeumann, F.; Witt, C.
2017The Packing While Traveling ProblemPolyakovskiy, S.; Neumann, F.
2019Reoptimization Time Analysis of Evolutionary Algorithms on Linear Functions Under Dynamic Uniform ConstraintsShi, F.; Schirneck, M.; Friedrich, T.; Kötzing, T.; Neumann, F.
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.)
2012An adaptive data structure for evolutionary multi-objective algorithms with unbounded archivesYuen, J.; Gao, S.; Wagner, M.; Neumann, F.; IEEE Congress on Evolutionary Computation (2012 : Brisbane, Qld.)
2013Single- and multi-objective genetic programming: new bounds for weighted order and majorityNguyen, A.; Urli, T.; Wagner, M.; Neumann, F.; Jong, K.A.D.; Workshop on Foundations of Genetic Algorithms (12th : 2013 : Adelaide, Australia)

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