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Evolutionary algorithm with domain-specific operators for UAV path planning
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AI
DOI：10.1016/j.swevo.2025.102267.png)
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Abstract
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• Introduces A*-guided crossover, mutation, and adaptive polynomial mutation for paths. • Integrates operators within MOEA/D-AWA, boosting path feasibility and solution gains. • Shows superior hypervolume and faster stable convergence on urban, mountainous tests. • Validates adaptive mutation balancing exploration and exploitation dynamically during. • Provides qualitative and quantitative analyses of obstacle avoidance and optimal path.
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