Cooperative Path Planning of Multiple UAVs by using Max–Min Ant Colony Optimization along with Cauchy Mutant Operator
| العنوان: | Cooperative Path Planning of Multiple UAVs by using Max–Min Ant Colony Optimization along with Cauchy Mutant Operator |
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| المؤلفون: | Zain Anwar Ali, Wang Bo Hang, Han Zhangang |
| المصدر: | Fluctuation and Noise Letters. 20:2150002 |
| بيانات النشر: | World Scientific Pub Co Pte Lt, 2020. |
| سنة النشر: | 2020 |
| مصطلحات موضوعية: | 0209 industrial biotechnology, Computer science, General Mathematics, Ant colony optimization algorithms, General Physics and Astronomy, Cauchy distribution, 02 engineering and technology, Collision, Noise, 020901 industrial engineering & automation, Operator (computer programming), Wind force, Control theory, 0202 electrical engineering, electronic engineering, information engineering, 020201 artificial intelligence & image processing, Motion planning |
| الوصف: | In a dynamic environment with wind forces and tornadoes, eliminating fluctuations and noise is critical to get the optimal results. Avoiding collision and simultaneous arrival of multiple unmanned aerial vehicles (multi-UAVs) is also a great problem. This paper addresses the cooperative path planning of multi-UAVs with in a dynamic environment. To deal with the aforementioned issues, we combine the maximum–minimum ant colony optimization (MMACO) and Cauchy Mutant (CM) operators to make a bio-inspired optimization algorithm. Our proposed algorithm eliminates the limitations of classical ant colony optimization (ACO) and MMACO, which has the issues of the slow convergence speed and a chance of falling into local optimum. This paper chooses the CM operator to enhance the MMACO algorithm by comparing and examining the varying tendency of fitness function of the local optimum position and the global optimum position when taking care of multi-UAVs path planning problems. It also makes sure that the algorithm picks the shortest route possible while avoiding collision. Additionally, the proposed method is more effective and efficient when compared to the classic MMACO. Finally, the simulation experiment results are performed under the dynamic environment containing wind forces and tornadoes. |
| تدمد: | 1793-6780 0219-4775 |
| الوصول الحر: | https://explore.openaire.eu/search/publication?articleId=doi_________::9891f223245eb58fa9e0c7ccfdeb9879Test https://doi.org/10.1142/s0219477521500024Test |
| رقم الانضمام: | edsair.doi...........9891f223245eb58fa9e0c7ccfdeb9879 |
| قاعدة البيانات: | OpenAIRE |
| تدمد: | 17936780 02194775 |
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