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The travelling thief problem: The first step in the transition from theoretical problems to realistic problems.

, , and . IEEE Congress on Evolutionary Computation, page 1037-1044. IEEE, (2013)

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On principal component analysis for high-dimensional XCSR., , , and . Evol. Intell., 5 (2): 129-138 (2012)Multi-objective strip packing using an evolutionary algorithm., , and . IEEE Congress on Evolutionary Computation, page 4207-4214. IEEE, (2007)Multi-level Ranking for Constrained Multi-objective Evolutionary Optimisation., , , and . PPSN, volume 4193 of Lecture Notes in Computer Science, page 563-572. Springer, (2006)On the behaviour of evolutionary strategies for problems with varying noise strength., , and . IEEE Congress on Evolutionary Computation, page 2772-2779. IEEE, (2008)A Comparison of Genetic Programming and Look-up Table Learning for the Game of Spoof., , and . CIG, page 63-71. IEEE, (2007)Scheduling for the National Hockey League Using a Multi-objective Evolutionary Algorithm., , and . Australasian Conference on Artificial Intelligence, volume 5866 of Lecture Notes in Computer Science, page 381-390. Springer, (2009)Use of the WFG Toolkit and PISA for Comparison of MOEAs., , , , and . MCDM, page 382-389. IEEE, (2007)An investigation of real-valued accuracy-based learning classifier systems for electronic fraud detection., , , and . GECCO (Companion), page 1893-1900. ACM, (2010)Designing Crushers With A Multi-objective Evolutionary Algorithm., , and . GECCO, page 995-1002. Morgan Kaufmann, (2002)Designing Crushers With A Multi-objective Evolutionary Algorithm., , and . GECCO, page 995-1002. Morgan Kaufmann, (2002)