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Hierarchical Planning Guided by Genetic Algorithms for Multiple HAPS in a Time-Varying Environment

  • Jane Jean KiamEmail author
  • Valerie Hehtke
  • Eva Besada-Portas
  • Axel Schulte
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 903)

Abstract

A hierarchical task planning structure is favorable for its capability to accommodate constraints at different abstraction levels and also for the similarity of its planning approach as a human. This structure is adopted for the task planning for multiple HAPS. However, the combinatorial search problem grows with the presence of multiple agents. This work proposes a method to guide the decomposition of the tasks down the hierarchy with genetic algorithm in order to find quality plans within limited time.

Keywords

Multiple agents Hierarchical planning HAPS Genetic algorithm 

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Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  • Jane Jean Kiam
    • 1
    Email author
  • Valerie Hehtke
    • 1
  • Eva Besada-Portas
    • 2
  • Axel Schulte
    • 1
  1. 1.Institute of Flight SystemsUniversity of the BundeswehrMunich, NeubibergGermany
  2. 2.Departamento de Arquitectura de Computadores y AutomaticaUniversidad Complutense de MadridMadridSpain

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