Search Results - "Beume, Nicola"

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  1. 1

    SMS-EMOA: Multiobjective selection based on dominated hypervolume by Beume, Nicola, Naujoks, Boris, Emmerich, Michael

    Published in European journal of operational research (16-09-2007)
    “…The hypervolume measure (or S metric) is a frequently applied quality measure for comparing the results of evolutionary multiobjective optimisation algorithms…”
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    Journal Article
  2. 2

    S-Metric calculation by considering dominated hypervolume as Klee's measure problem by Beume, Nicola

    Published in Evolutionary computation (2009)
    “…The dominated hypervolume (or S-metric) is a commonly accepted quality measure for comparing approximations of Pareto fronts generated by multi-objective…”
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    Journal Article
  3. 3

    On the Complexity of Computing the Hypervolume Indicator by Beume, N., Fonseca, C.M., Lopez-Ibanez, M., Paquete, L., Vahrenhold, J.

    “…The goal of multiobjective optimization is to find a set of best compromise solutions for typically conflicting objectives. Due to the complex nature of most…”
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    Journal Article
  4. 4

    Controllable procedural map generation via multiobjective evolution by Togelius, Julian, Preuss, Mike, Beume, Nicola, Wessing, Simon, Hagelbäck, Johan, Yannakakis, Georgios N., Grappiolo, Corrado

    Published in Genetic programming and evolvable machines (01-06-2013)
    “…This paper shows how multiobjective evolutionary algorithms can be used to procedurally generate complete and playable maps for real-time strategy (RTS) games…”
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    Journal Article
  5. 5
  6. 6

    Towards Intelligent Team Composition and Maneuvering in Real-Time Strategy Games by Preuss, Mike, Beume, Nicola, Danielsiek, Holger, Hein, Tobias, Naujoks, Boris, Piatkowski, Nico, Stüer, Raphael, Thom, Andreas, Wessing, Simon

    “…Players of real-time strategy (RTS) games are often annoyed by the inability of the game AI to select and move teams of units in a natural way. Units travel…”
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    Journal Article
  7. 7

    Scalarization versus indicator-based selection in multi-objective CMA evolution strategies by Voss, T., Beume, N., Rudolph, G., Igel, C.

    “…While scalarization approaches to multi- criteria optimization become infeasible in the case of many objectives, for few objectives the benefits of population-…”
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    Conference Proceeding
  8. 8

    Multi-objective optimisation using S-metric selection: application to three-dimensional solution spaces by Naujoks, B., Beume, N., Emmerich, M.

    “…The S-metric or hypervolume measure is a distinguished quality measure for solution sets in Pareto optimisation. Once the aim to reach a high S-metric value is…”
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    Conference Proceeding
  9. 9

    Measuring flow as concept for detecting game fun in the Pac-Man game by Beume, N., Danielsiek, H., Eichhorn, C., Naujoks, B., Preuss, M., Stiller, K., Wessing, S.

    “…Popular games often have a high-quality graphic design but quite simple-minded non player characters (NPC). Recently, Computational Intelligence (CI) methods…”
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    Conference Proceeding
  10. 10

    Multiobjective exploration of the StarCraft map space by Togelius, J, Preuss, M, Beume, N, Wessing, S, Hagelback, J, Yannakakis, G N

    “…This paper presents a search-based method for generating maps for the popular real-time strategy (RTS) game StarCraft. We devise a representation of StarCraft…”
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    Conference Proceeding
  11. 11

    To model or not to model: Controlling Pac-Man ghosts without incorporating global knowledge by Beume, N., Hein, T., Naujoks, B., Neugebauer, G., Piatkowski, N., Preuss, M., Stuer, R., Thom, A.

    “…The creation of interesting opponents for human players in computer games is an interesting and challenging task. In contrast to up-to-date computer games,…”
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    Conference Proceeding
  12. 12

    Intelligent moving of groups in real-time strategy games by Danielsiek, H., Stuer, R., Thom, A., Beume, N., Naujoks, B., Preuss, M.

    “…This paper investigates the intelligent moving and path-finding of groups in real-time strategy (RTS) games exemplified by the open source game Glest. We…”
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    Conference Proceeding
  13. 13

    Intelligent anti-grouping in real-time strategy games by Beume, N., Hein, T., Naujoks, B., Piatkowski, N., Preuss, M., Wessing, S.

    “…Assembling suitable groups of fighting units to combat incoming enemy groups is a tactical necessity in real-time strategy (RTS) games. Furthermore it heavily…”
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    Conference Proceeding