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A Schema-Guided Constrained Multi-Objective Optimization Evolutionary Algorithm for Multiple Uncrewed Aerial Vehicle Path Planning

Published in IEEE Transactions on Emerging Topics in Computational Intelligence • Apr 6, 2026
NobleIDNI5P967W168R738S792
Authors:
Chaoda Peng
,
Guobing Dong
,
Shaojian Qiu

Abstract

Multiple uncrewed aerial vehicles path planning (MUPP) has become increasingly critical in modern aerial operations, enabling coordinated fleet missions across diverse and complex scenarios. Recent research has increasingly modeled MUPP as a constrained multi-objective optimization problem (CMOP) to...

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