Aug 2026· Operational Research· Vol 26· 0 citations· 31 references
TL;DR
Simulation results indicate that the proposed modified version of whale optimization algorithm (MVWOA) outperforms some state-of-the-art algorithms considering on accuracy and convergence, demonstrating its potential for solving applications.
An improved Whale Optimization Algorithm (R*WOA) that integrates the Rapidly Expanding Random Tree Star (RRT*) algorithm that significantly outperforms traditional WOA, GA and HHO algorithms, enabling the planning of optimal UAV flight trajectories with shorter paths, higher safety and better smoothness in complex cons...
Aiming at the problems of slow convergence speed, low optimization accuracy, susceptibility to local optima, and insufficient stability of the traditional Red Kite Optimization Algorithm (ROA) for unmanned aerial vehicle (UAV) path planning in complex three-dimensional environments, this paper proposes an Improved Red...
The improved algorithm is compared with five mainstream swarm intelligence algorithms on ten benchmark functions to verify its effectiveness and the simulation results of three-dimensional trajectory planning using the improved algorithm and other swarm intelligence algorithms are presented, which demonstrate the super...
An efficient and robust algorithm for autonomous three-dimensional path planning of UAVs in complex obstacle environments is presented and coordinated improvements realize targeted optimization for UAV 3D flight characteristics.
Experiments show that HLGWO generally outperforms several comparison algorithms in convergence accuracy, stability, and path cost, thereby improving the safety, feasibility, and optimization performance of 3D UAV path planning in complex environments.
Addressing challenges such as strong terrain constraints and susceptibility to local optima in UAV path planning within complex mountainous environments, this paper introduces a path planning method based on the Whale Optimization Algorithm-Grey Wolf Optimizer (WOAGWO) hybrid algorithm. First, the hierarchical hunting...
Qiwu Wu, Jian-Yong Weng, Tao Tong· International Conference on...· 0 citations
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