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VBMO: Voting-Based Multi-Objective Path Planning

arXiv 2308.11755 ↗First posted 22 Aug 2023cs.AIcited by 0

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Abstract (arXiv)

This paper presents VBMO, the Voting-Based Multi-Objective path planning algorithm, that generates optimal single-objective plans, evaluates each of them with respect to the other objectives, and selects one with a voting mechanism. VBMO does not use hand-tuned weights, consider the multiple objectives at every step of search, or use an evolutionary algorithm. Instead, it considers how a plan that is optimal in one objective may perform well with respect to others. VBMO incorporates three voting mechanisms: range, Borda, and combined approval. Extensive evaluation in diverse and complex environments demonstrates the algorithm's ability to efficiently produce plans that satisfy multiple objectives.

Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 2 of its 44 references that are in the map. First posted on arXiv 22 Aug 2023.

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References · 2

  1. 2020Approximate bi-criteria search by efficient representation of subsets of the Pareto-optimal frontiercited by 10
  2. 2021Subdimensional Expansion for Multi-objective Multi-agent Path Findingcited by 9

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