A Multi-Objective Black-Winged Kite Algorithm for Multi-UAV Cooperative Path Planning DOI Creative Commons

X.B. Liu,

Fufu Wang,

Yu Liu

et al.

Drones, Journal Year: 2025, Volume and Issue: 9(2), P. 118 - 118

Published: Feb. 5, 2025

In UAV path-planning research, it is often difficult to achieve optimal performance for conflicting objectives. Therefore, the more promising approach find a balanced solution that mitigates effects of subjective weighting, utilizing multi-objective optimization algorithm address complex planning issues involve multiple machines. Here, we introduce an advanced mathematical model cooperative path among UAVs in urban logistics scenarios, employing non-dominated sorting black-winged kite (NSBKA) this challenge. To evaluate efficacy NSBKA, was benchmarked against other algorithms using Zitzler, Deb, and Thiele (ZDT) test problems, Thiele, Laumanns, Zitzler (DTLZ) functions from conference on evolutionary computation 2009 (CEC2009) three types problems. Comparative analyses statistical results indicate proposed outperforms all 22 functions. verify capability NSBKA addressing multi-UAV problem model, applied solve problem. Simulation experiments five show can obtain reasonable collaborative set UAVs. Moreover, based generally superior terms energy saving, safety, computing efficiency during planning. This affirms effectiveness meta-heuristic dealing with objective cooperation problems further enhances robustness competitiveness NSBKA.

Language: Английский

MSBKA: A Multi-Strategy Improved Black-Winged Kite Algorithm for Feature Selection of Natural Disaster Tweets Classification DOI Creative Commons
Guangyu Mu, Jiaxue Li,

Zhanhui Liu

et al.

Biomimetics, Journal Year: 2025, Volume and Issue: 10(1), P. 41 - 41

Published: Jan. 10, 2025

With the advancement of Internet, social media platforms have gradually become powerful in spreading crisis-related content. Identifying informative tweets associated with natural disasters is beneficial for rescue operation. When faced massive text data, choosing pivotal features, reducing calculation expense, and increasing model classification performance a significant challenge. Therefore, this study proposes multi-strategy improved black-winged kite algorithm (MSBKA) feature selection disaster based on wrapper method's principle. Firstly, BKA by utilizing enhanced Circle mapping, integrating hierarchical reverse learning, introducing Nelder-Mead method. Then, MSBKA combined excellent classifier SVM (RBF kernel function) to construct hybrid model. Finally, MSBKA-SVM performs tweet tasks. The empirical analysis data from four shows that proposed has achieved an accuracy 0.8822. Compared GA, PSO, SSA, BKA, increased 4.34%, 2.13%, 2.94%, 6.35%, respectively. This research proves can play supporting role risk.

Language: Английский

Citations

2
Load balancing routing algorithm of industrial wireless network for digital twin DOI

Linjie Xiao,

Shining Li, Qin Wen

et al.

Computer Networks, Journal Year: 2025, Volume and Issue: unknown, P. 111059 - 111059

Published: Jan. 1, 2025

Language: Английский

Citations

1
Artificial Afterimage Algorithm: A New Bio-Inspired Metaheuristic Algorithm and Its Clustering Application DOI Creative Commons
Murat Demir

Applied Sciences, Journal Year: 2025, Volume and Issue: 15(3), P. 1359 - 1359

Published: Jan. 28, 2025

Metaheuristic methods are optimization that look for different ways to converge a solution problem where it is difficult find analytically. Their difference from known they imitate living things or systems in nature. Each metaheuristic method has its equations, and the found using these equations. In this study, new, called afterimage algorithm proposed. The proposed was developed inspired by fact when we close our eyes after looking at luminous image while, vision still occurs minds. This an afterimage. first pre-processes with operator calculates best worst values. visual angle value then calculated, new solutions produced around value. Three datasets were used experimental studies on data clustering. Accuracies of 96.66% iris plant dataset, 92% Wisconsin breast cancer 95% occupancy detection dataset obtained.

Language: Английский

Citations

1
An enhanced ivy algorithm fusing multiple strategies for global optimization problems DOI

Chunqiang Zhang,

Wenzhou Lin, Gang Hu

et al.

Advances in Engineering Software, Journal Year: 2025, Volume and Issue: 203, P. 103862 - 103862

Published: Feb. 6, 2025

Language: Английский

Citations

1
Wearable Photonic Artificial Throat for Silent Communication and Speech Recognition DOI
Wenbo Li, Rui Min, Di Zheng

et al.

ACS Applied Materials & Interfaces, Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 7, 2025

Advocating for the voices of disabled, particularly through wearable artificial throats, has garnered significant attention recently. Such devices necessitate sensors with stretchability, high sensitivity, and excellent skin conformability. In this study, an intelligent photonic throat been developed. It features a sandwich-structured optical fiber sensor encapsulated in Dragon Skin 20, which elastic modulus similar to human tissue is integrated sensitivity-enhancing rings fabric enhanced wearability. With ultrafast response (response time: 10 ms, recovery 32 ms) sensitivity (1.92 μW/mN), it detects area vibrations muscle contractions, accurately identifying tones Mandarin, vowels, words, sentences English, achieving accurate bilingual detection. also distinguishes animal sounds (horse neighing cuckoo's call) pop songs when mounted on speakers. Furthermore, can detect subtle movements head neck, by combining nodding actions MORSE code, silent communication between individuals successfully achieved. Integrated advanced intelligence (AI) algorithm, recognizes (97.50%), vowel letters (97.00%), common words (98.00%) (96.52%), opening prospects biomedical applications, language education, speech recognition, motion monitoring, more.

Language: Английский

Citations

1
Identification of optimal parameters of PEMFC steady-state model using improved black kite algorithm DOI

S.-Y. Huang,

Yanfeng Xing,

Juyong Cao

et al.

International Journal of Hydrogen Energy, Journal Year: 2025, Volume and Issue: 106, P. 1302 - 1321

Published: Feb. 8, 2025

Language: Английский

Citations

1
Mirage search optimization: Application to path planning and engineering design problems DOI
Jiahao He, Shijie Zhao,

Jiayi Ding

et al.

Advances in Engineering Software, Journal Year: 2025, Volume and Issue: 203, P. 103883 - 103883

Published: Feb. 18, 2025

Language: Английский

Citations

1
Optimal configuration of a stand-alone PV/diesel/battery hybrid energy system based on modified PSO for a translational sprinkler irrigation machine applied in remote and water-scarce areas DOI
Kenan Liu, Yaohui Cai, Wei Sun

et al.

Energy, Journal Year: 2025, Volume and Issue: unknown, P. 135113 - 135113

Published: Feb. 1, 2025

Language: Английский

Citations

1
An improve crested porcupine algorithm for UAV delivery path planning in challenging environments DOI Creative Commons
Shenglin Liu,

Zikai Jin,

Hanting Lin

et al.

Scientific Reports, Journal Year: 2024, Volume and Issue: 14(1)

Published: Sept. 3, 2024

With the rapid advancement of drone technology and growing applications in field engineering, demand for precise efficient path planning complex dynamic environments has become increasingly important. Traditional algorithms struggle with terrain, obstacles, weather changes, often falling into local optima. This study introduces an Improved Crown Porcupine Optimizer (ICPO) planning, which enables drones to better avoid optimize flight paths, reduce energy consumption. Inspired by porcupines' defense mechanisms, a visuo-auditory synergy perspective is adopted, improving early convergence balancing visual auditory defenses. The also employs good point set population initialization strategy enhance diversity eliminates traditional reduction mechanism. To optima later stages, novel periodic retreat inspired defenses introduced position updates. Analysis on IEEE CEC2022 test shows that ICPO almost reaches optimal value, demonstrating robustness stability. In mountainous achieved values 778.1775 954.0118; urban 366.2789 910.1682 ranked first among compared algorithms, proving its effectiveness reliability delivery planning. Looking ahead, will provide greater efficiency safety navigating environments.

Language: Английский

Citations

8
Heuristic Optimization Algorithm of Black-Winged Kite Fused with Osprey and Its Engineering Application DOI Creative Commons
Zheng Zhang, Xiangkun Wang, Yinggao Yue

et al.

Biomimetics, Journal Year: 2024, Volume and Issue: 9(10), P. 595 - 595

Published: Oct. 1, 2024

Swarm intelligence optimization methods have steadily gained popularity as a solution to multi-objective issues in recent years. Their study has garnered lot of attention since problems hard high-dimensional goal space. The black-winged kite algorithm still suffers from the imbalance between global search and local development capabilities, it is prone even though combines Cauchy mutation enhance algorithm's ability. heuristic fused with osprey (OCBKA), which initializes population by logistic chaotic mapping fuses improve performance algorithm, proposed means enhancing ability (BKA). By using numerical comparisons CEC2005 CEC2021 benchmark functions, along other swarm solutions three engineering problems, upgraded strategy's efficacy confirmed. Based on experiment findings, revised OCBKA very competitive because can handle complicated high convergence accuracy quick time when compared comparable algorithms.

Language: Английский

Citations

7