A Multi-Objective Quantum-Inspired Seagull Optimization Algorithm Based on Decomposition for Unmanned Aerial Vehicle Path Planning

A Multi-Objective Quantum-Inspired Seagull Optimization Algorithm Based on Decomposition for Unmanned Aerial Vehicle Path Planning

The traditional seagull optimization algorithm cannot handle multi-objective optimization problems, so a multi-objective quantum-inspired seagull optimization algorithm based on decomposition (MOQSOA/D) is proposed. Multi-objective computing and quantum computing are introduced into MOQSOA/D. MOQSOA...

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Bibliographic Details
Main Authors: Peng Wang, Zhiliang Deng
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Access
Subjects:
Seagull optimization algorithm
multi-objective problem
qubits encoding
path planning
Online Access:https://ieeexplore.ieee.org/document/9921223/

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