- 标题
- 摘要
- 关键词
- 实验方案
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[IEEE 2017 4th International Conference on Opto-Electronics and Applied Optics (Optronix) - Kolkata (2017.11.2-2017.11.3)] 2017 4th International Conference on Opto-Electronics and Applied Optics (Optronix) - A noble approach to light the path trail using swarm technology
摘要： Swarm intelligence (Intro SI) is the collective behaviour of decentralized, self-organized systems, natural or artificial. It is many minds working together. It is the first step in allowing people to pool their knowledge and insights into a single elevated intelligence. The objective is to light on a path trail by the leading robot, so that the rest of the robots could follow the trail to work as a unified system, thereby reducing time and manpower.
关键词： adaptive path exploration,swarm intelligence,Robot sensing systems,cognitive map generation,neighbouring robots,path trail information
更新于2025-09-23 15:23:52
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Parameters identification of photovoltaic cells and modules using diversification-enriched Harris hawks optimization with chaotic drifts
摘要： In this research, a diversification-enhanced Harris hawks optimization (HHO) is proposed based on the chaotic drifts in the vicinity of the best agent and an opposition-based exploratory strategy to efficiently identify unknown parameters of photovoltaic models modules. This novel technique is employed to estimate the parameters of solar cells models for single diode, double diode, and photovoltaic module. Also, different temperatures and irradiation levels for three practical manufactures datasets are investigated. Competitive and statistical experimental results demonstrate the excellent traits of the proposed HHO-based identifier in estimating the key parameters of photovoltaic models compared to several well-regarded competitors that prominently performs a good performance for solving this case. Also, satisfactory stability level is archived at different temperatures and levels of irradiance due to a better interchange between diversification and intensification drifts of the proposed variant. Therefore, HHO-based identifier provides high-quality solutions for parameter identification cases based on its coherent searching trends. We recommend this approach as a competent and auxiliary technique for parameters estimation of photovoltaic models.
关键词： Swarm-intelligence,Exploration and exploitation,Photovoltaic models,Parameters estimation,Harris Hawks Optimization
更新于2025-09-19 17:13:59
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Estimation of the particle size distribution of colloids from multiangle dynamic light scattering measurements with particle swarm optimization
摘要： In this paper particle Swarm Optimization (PSO) algorithms are applied to estimate the particle size distribution (PSD) of a colloidal system from the average PSD diameters, which are measured by multi-angle dynamic light scattering. The system is considered a nonlinear inverse problem, and for this reason the estimation procedure requires a Tikhonov regularization method. The inverse problem is solved through several PSO strategies. The evaluated PSOs are tested through three simulated examples corresponding to polystyrene (PS) latexes with different PSDs, and two experimental examples obtained by simply mixing 2 PS standards. In general, the evaluation results of the PSOs are excellent; and particularly, the PSO with the Trelea’s parameter set shows a better performance than other implemented PSOs.
关键词： inverse problem,particle swarm optimization algorithm,particle size distribution,Swarm Intelligence,dynamic light scattering
更新于2025-09-09 09:28:46