Warm-Start 3D ACO Routing with GCS Swarm Health Monitoring under Dynamic Structural Collapse

This preprint presents a warm-start 3D Ant Colony Optimization (ACO) framework for UAV swarm routing in dynamic disaster-response environments. The model routes UAV paths to a fixed Ground Control System (GCS) while considering link quality, communication and propagation delay, and energy usage. A pheromone warm-start mechanism retains routing information after simulated structural changes rather than restarting optimization from scratch. The framework was evaluated across 75 Monte Carlo trials spanning three levels of structural change(10%, 25%, 50% collapse severity), with performance compared against a greedy nearest-neighbor baseline. This manuscript is a preprint and has not undergone peer-reviewed publication.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-10-28
DOI
https://doi.org/10.5281/zenodo.23712188
Primary Topic
Metaheuristic Optimization Algorithms Research
Type
preprint
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preprint

Warm-Start 3D ACO Routing with GCS Swarm Health Monitoring under Dynamic Structural Collapse

Vedansh Gupta
2 links
Zenodo (CERN European Organization for Nuclear Research)
Metaheuristic Optimization Algorithms Research
preprint

Warm-Start 3D ACO Routing with GCS Swarm Health Monitoring under Dynamic Structural Collapse

Vedansh Gupta
preprint en

Abstract

This preprint presents a warm-start 3D Ant Colony Optimization (ACO) framework for UAV swarm routing in dynamic disaster-response environments. The model routes UAV paths to a fixed Ground Control System (GCS) while considering link quality, communication and propagation delay, and energy usage. A pheromone warm-start mechanism retains routing information after simulated structural changes rather than restarting optimization from scratch. The framework was evaluated across 75 Monte Carlo trials spanning three levels of structural change(10%, 25%, 50% collapse severity), with performance compared against a greedy nearest-neighbor baseline. This manuscript is a preprint and has not undergone peer-reviewed publication.

Zenodo (CERN European Organization for Nuclear Research)
United World College of South East Asia (SG)
Industry, innovation and infrastructure, Sustainable cities and communities
Metaheuristic Optimization Algorithms Research
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