首页|Study Findings on Robotics Discussed by a Researcher at Hubei University of Technology (Multi-strategy ensemble Harris hawks optimization for smooth path planning of mobile robots)
Study Findings on Robotics Discussed by a Researcher at Hubei University of Technology (Multi-strategy ensemble Harris hawks optimization for smooth path planning of mobile robots)
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NETL
NSTL
World Scientific
Data detailed on robotics have been presented. According to news reporting out of Hubei, People’s Republic of China, by NewsRx editors, research stated, “Efficient and safe path planning for autonomous navigation is paramount in advancing the motion control capabilities of mobile robots.” Funders for this research include The National Natural Science Foundation of China; Hubei Provincial Science And Technology Plan Project. The news correspondents obtained a quote from the research from Hubei University of Technology: “To obtain the global optimal smooth path for mobile robots, a multi-strategy ensemble Harris hawks optimization algorithm (SDHHO) is proposed in this paper. The spiral search strategy is adopted to improve the early update method of the algorithm, which can improve the global exploration ability. To achieve better balance between global exploration and local exploitation, the Sine chaotic map is introduced to the escape energy, replacing random components. Furthermore, an elite differential mutation strategy combined with Gaussian mutation is designed to prevent the algorithm from falling into local optima. We compared the SDHHO algorithm with other classical and novel algorithms on 23 benchmark functions, and the results demonstrated the superiority of SDHHO.”
Hubei University of TechnologyHubeiPeople’s Republic of ChinaAsiaAlgorithmsEmerging TechnologiesMachine LearningNano-robotRobotics
NETL
NSTL
World Scientific
