Enhancing unmanned marine vehicle path planning: A fractal-enhanced chaotic grey wolf and differential evolution approach

Chaoyang Zhu; Yassine Bouteraa; Mohammad Khishe; Diego Martín; F. Hernando-Galego; Thavavel Vaiyapuri

doi:10.1016/j.knosys.2025.113481

Publication record · 2025

Enhancing unmanned marine vehicle path planning: A fractal-enhanced chaotic grey wolf and differential evolution approach

Authors: Chaoyang Zhu · Yassine Bouteraa · Mohammad Khishe · Diego Martín · F. Hernando-Galego · Thavavel Vaiyapuri
Year: 2025
Publisher: Elsevier
Journal or publication: Knowledge-Based Systems
Google Scholar citations: 18

Journal indicators

CiteScore 2025 (Scopus)13.7

Best quartileQ1

Top 10% in any categoryYes

Positions by category

Information Systems and Management15/222 · Q1 · percentile 93 · Top 10%
Software38/503 · Q1 · percentile 92 · Top 10%
Artificial Intelligence50/570 · Q1 · percentile 91 · Top 10%
Management Information Systems14/143 · Q1 · percentile 90 · Top 10%

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JCR (Clarivate): Not verified: the supplied ranking file is Scopus CiteScore, not JCR.

Included in the supplied report on non-standard bibliometric behaviour (2017–2019).

The report is an independent analysis published in 2021; it is not an official ANECA ban or endorsement list.

Research summary

A fractal-enhanced chaotic Grey Wolf Optimizer is combined with differential evolution to find shorter, smoother and collision-free routes for unmanned marine vehicles in complex, dynamic environments.

Original description prepared for this website; consult the publication for its authoritative abstract.

DOI 10.1016/j.knosys.2025.113481 ↗ · View Google Scholar record ↗