A hybrid crossover kangaroo escape optimization framework for engineering optimization and UAV path planning
This paper develops a hybrid crossover-based optimization framework that enhances population interaction and improves search efficiency, and is applied to UAV path planning, formulated as a constrained optimization problem, demonstrating its effectiveness and scalability in complex engineering scenarios.