When does the Physarum Solver Distinguish the Shortest Path from other Paths: the Transition Point and its Applications
Yusheng Huang (1), Dong Chu (1), Joel Weijia Lai (2), Yong Deng (1),, Kang Hao Cheong (2) ((1) Institute of Fundamental, Frontier Science,, University of Electronic Science, Technology of China, Chengdu, China, (2), Science, Math Cluster, Singapore University of Technology

TL;DR
This paper introduces the concept of the transition point and dominant path to accurately identify when the Physarum solver finds the shortest path, leading to an accelerated algorithm that outperforms existing methods.
Contribution
It proposes a novel termination criterion based on D-Path and T-Point, improving the Physarum solver's efficiency and clarifying misconceptions about acceleration in related algorithms.
Findings
The OPPA-D algorithm outperforms baseline methods in speed.
The proposed termination criterion accurately detects the shortest path.
The method clarifies issues with previous claims of acceleration.
Abstract
Physarum solver, also called the physarum polycephalum inspired algorithm (PPA), is a newly developed bio-inspired algorithm that has an inherent ability to find the shortest path in a given graph. Recent research has proposed methods to develop this algorithm further by accelerating the original PPA (OPPA)'s path-finding process. However, when does the PPA ascertain that the shortest path has been found? Is there a point after which the PPA could distinguish the shortest path from other paths? By innovatively proposing the concept of the dominant path (D-Path), the exact moment, named the transition point (T-Point), when the PPA finds the shortest path can be identified. Based on the D-Path and T-Point, a newly accelerated PPA named OPPA-D using the proposed termination criterion is developed which is superior to all other baseline algorithms according to the experiments conducted in…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsSlime Mold and Myxomycetes Research · Topological and Geometric Data Analysis · Plant and Biological Electrophysiology Studies
