Alexandria Engineering Journal, Journal Year: 2024, Volume and Issue: 113, P. 451 - 460
Published: Nov. 24, 2024
Language: Английский
Knowledge-Based Systems, Journal Year: 2025, Volume and Issue: unknown, P. 113344 - 113344
Published: March 1, 2025
Language: Английский
Citations
0
Drones, Journal Year: 2025, Volume and Issue: 9(4), P. 267 - 267
Published: March 31, 2025
The rapid development of the drone industry has facilitated emergence concepts such as urban air mobility (UAM), driving a wave logistics in very low-level (VLL) airspace. However, existing trajectory planning algorithms do not adequately consider ground risks and secondary conflicts arising from high-density operations VLL To address these challenges, this paper proposes two-stage hierarchical 4D method to minimize multiple risks. Specifically, consists risk-aware global module (RAGPM) for preflight non-secondary conflict local (NCLPM) in-flight avoidance. Consequently, low-risk without can be found complex environments with operations, illustrated by extensive experiments.
Language: Английский
Citations
0
Ocean Engineering, Journal Year: 2025, Volume and Issue: 329, P. 121082 - 121082
Published: April 6, 2025
Language: Английский
Citations
0
Micromachines, Journal Year: 2025, Volume and Issue: 16(5), P. 492 - 492
Published: April 23, 2025
Piezoelectric tilt mirrors are crucial components of precision optical systems. However, the intrinsic hysteretic nonlinearity piezoelectric actuator severely restricts control accuracy these and overall performance system. This paper proposes an improved Gray Wolf Optimization (GWO) algorithm for high-accuracy identification hysteresis model parameters based on Bouc–Wen (BW) differential equation. The proposed accurately describes nonlinear behavior mirrors. A logistic chaotic mapping method is introduced population initialization, while a convergence factor Levy flight strategy incorporated to enhance global search capabilities during later stages optimization. These modifications enable effectively identify BW Compared conventional Particle Swarm (PSO) standard GWO, demonstrates faster convergence, higher accuracy, superior ergodicity, making it promising tool solving optimization problems, such as parameter in work provides robust approach improving reliability piezoelectric-driven
Language: Английский
Citations
0
Machines, Journal Year: 2024, Volume and Issue: 12(9), P. 591 - 591
Published: Aug. 26, 2024
A differentiated creative search algorithm with multi-strategy improvement (MSDCS) is proposed for the path planning problem agricultural UAVs under different complicated situations. First, good point set and oppositional learning strategies are used to effectively improve quality of population diversity; adaptive fitness–distance balance reset strategy motivate low performers move closer region near optimal solution find potential solution; vertical horizontal crossover random dimensions computational accuracy ability jump out local optimum. Second, MSDCS compared algorithms using IEEE_CEC2017 test set, which consists 29 functions. The results demonstrate that achieves value in 23 functions, surpassing comparison terms convergence accuracy, speed, stability by at least one order magnitude difference, it ranked No. 1 comprehensive performance. Finally, enhanced was employed address issue UAVs. experimental outperforms across various contexts. Consequently, can generate pathways both rational safe UAV operations.
Language: Английский
Citations
2
Biomimetics, Journal Year: 2024, Volume and Issue: 9(10), P. 647 - 647
Published: Oct. 21, 2024
The UAV path planning algorithm has many applications in urban environments, where an effective can enhance the efficiency of tasks. main concept is to find optimal flight while avoiding collisions. This paper transforms problem into a multi-constraint optimization by considering three costs: length, turning angle, and collision avoidance. A multi-strategy improved POA (IPOA) proposed address this. Specifically, incorporating iterative chaotic mapping method with refracted reverse learning strategy, nonlinear inertia weight factors, Levy mechanism, adaptive t-distribution variation, convergence accuracy speed are enhanced. In CEC2022 test functions, IPOA outperformed other algorithms 69.4% cases. real map simulation experiment, compared POA, distance obstacles, time 8.44%, 5.82%, 4.07%, 9.36%, respectively. Similarly, MPOA, improvements were 4.09%, 0.76%, 1.85%, 4.21%,
Language: Английский
Citations
1
Biomimetics, Journal Year: 2024, Volume and Issue: 9(10), P. 639 - 639
Published: Oct. 18, 2024
This paper introduces an enhanced Whale Optimization Algorithm, named the Multi-Swarm Improved Spiral Algorithm (MISWOA), designed to address shortcomings of traditional (WOA) in terms global search capability and convergence velocity. The MISWOA combines adaptive nonlinear factor with a variable gain compensation mechanism, weights, advanced spiral strategy, resulting significant enhancement algorithm's capability, velocity, precision. Moreover, incorporates multi-population further bolstering efficiency robustness. Ultimately, extensive validation through "simulation + experimentation" approaches has been conducted, demonstrating that surpasses other algorithms its variants accuracy algorithmic efficiency. validates effectiveness improvement method exceptional performance MISWOA, while also highlighting substantial potential for application practical engineering scenarios. study not only presents improved optimization algorithm but constructs systematic framework analysis research, offering novel insights comprehension refinement swarm intelligence algorithms.
Language: Английский
Citations
1
Alexandria Engineering Journal, Journal Year: 2024, Volume and Issue: 113, P. 451 - 460
Published: Nov. 24, 2024
Language: Английский
Citations
0