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AAMAS 2013

Time Optimized Multi-Agent Path Planning Using Guided Iterative Prioritized Planning

Conference Paper Poster Session 2 - Extended Abstracts 2 Autonomous Agents and Multiagent Systems

Abstract

This paper proposes the guided iterative prioritized planning (GIPP) algorithm to address the problem of moving multiple mobile agents to their respective destinations in a shortest timerelated cost. Compared to other MAPP algorithms, the GIPP algorithm strikes a good balance between various performance criteria such as finding feasible solutions, completing the task promptly and low computational cost.

Authors

Keywords

  • Path planning
  • Multi-agents
  • Guided local search

Context

Venue
International Conference on Autonomous Agents and Multiagent Systems
Archive span
2002-2025
Indexed papers
7403
Paper id
130105594426228032