Motion-Encoded Particle Swarm Optimization for Moving Target Search Using UAVs (2020-09-10T00:00:00.000000Z)

TL;DR

The proposed MPSO improves the detection performance by 24% and time performance by 4.71 times compared to the original PSO, and also outperforms other state-of-the-art metaheuristic optimization algorithms including the artificial bee colony (ABC), ant colony optimization (ACO), genetic algorithm (GA), differential evolution (DE), and tree-seed algorithm (TSA) in most search scenarios.

Authors

Q. Ha

2 papers

Manh Duong Phung

2 papers

TL;DR

Authors

References40 items

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