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Asia-Pacific Conference on Simulated Evolution and Learning

SEAL 2006: Simulated Evolution and Learning pp 837–844Cite as

Land Combat Scenario Planning: A Multiobjective Approach

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Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 4247))

Abstract

The simulation of land combat operations is a complex task. The space of possibilities is exponential and the performance criteria are usually in conflict; thus finding a sweet spot in this complex search space is a hard task. This paper focuses on the effect of population size and mutation rate on the performance of NSGA–II, as the evolutionary multiobjective optimization technique, to decide on the composition of forces using a complex land combat multi-agent scenario planning tool.

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Author information

Authors and Affiliations

  1. Defence and Security Applications Research Centre (DSA), University of New South Wales, Australian Defence Force Academy, Canberra, ACT, 2600, Australia

    Ang Yang, Hussein A. Abbass & Ruhul Sarker

Authors
  1. Ang Yang
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  2. Hussein A. Abbass
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  3. Ruhul Sarker
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Editor information

Editors and Affiliations

  1. Department of Industrial Engineering and Management, Cheng Shiu University, Kaohsiung County Taiwan, ROC

    Tzai-Der Wang

  2. School of Computer Science and information Technology, RMIT University, VIC 3001, Melbourne, Australia

    Xiaodong Li

  3. AI-ECON Research Center, Department of Economics, National Chengchi University, 11623, Taipei, Taiwan

    Shu-Heng Chen

  4. Department of Computer Science and Technology, University of Sci. & Tech. of China, 230026, Hefei, Anhui, P.R. China

    Xufa Wang

  5. School of Information Technology and Electrical Engineering, University of New South Wales, Australian Defence Force Academy, Canberra, Australia

    Hussein Abbass

  6. The Univertity of Tokyo, Japan

    Hitoshi Iba

  7. Department of Computer, University of Science and Technology of China, 230027, Hefei, China

    Guo-Liang Chen

  8. University of Birmingham, Birmingham, UK

    Xin Yao

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© 2006 Springer-Verlag Berlin Heidelberg

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Cite this paper

Yang, A., Abbass, H.A., Sarker, R. (2006). Land Combat Scenario Planning: A Multiobjective Approach. In: Wang, TD., et al. Simulated Evolution and Learning. SEAL 2006. Lecture Notes in Computer Science, vol 4247. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11903697_105

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  • DOI: https://doi.org/10.1007/11903697_105

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-47331-2

  • Online ISBN: 978-3-540-47332-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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