An Efficient Improved Harris Hawks Optimizer and Its Application to Form Deviation-Zone Evaluation.

Evaluation of the deviation zone based on discrete measured points is crucial for quality control in manufacturing and metrology. However, deviation-zone evaluation is a highly nonlinear problem that is difficult to solve using traditional numerical optimization methods. Swarm intelligence has many advantages in solving this problem: it produces gradient-free, high-quality solutions and is characterized by its ease of implementation. Therefore, this study applies an improved Harris hawks algorithm (HHO) to tackle the problem. The average fitness is applied to replace the random operator in the exploration phase to solve the problem of conflicting exploration strategies due to randomness. In addition, the salp swarm algorithm (SSA) with a nonlinear inertia weight is embedded into the HHO, such that the superior explorative ability of SSA can fill the gap in the exploration of HHO. Finally, the optimal solution is greedily selected between SSA-based individuals and HHO-based individuals. The effectiveness of the proposed improved HHO optimizer is checked through a comparison with other swarm intelligence methods in typical benchmark problems. Moreover, the experimental results of form deviation-zone evaluation on primitive geometries show that the improved method can accurately solve various form deviations, providing an effective general solution for primitive geometries in the manufacturing and metrology fields.

[Fluorescence of early stage leachates DOM using RO membrane as tertiary treatment].

In the present study, fluorescence spectra of the dissolved organic matter (DOM) extracted from early stage leachate samples obtained from biologically pretreated leachate fed to RO tertiary treatment, the permeated, the concentrate, and liquids collected after cleaning the membrane with acid and then with base were determined. The results of synchronous fluorescence spectra analysis showed the RO membrane effectively removed the high content of organic matter corresponding to short wavelengths of 280, 340, and 370 nm of the feed. Liquids collected after cleaning membrane with acid and base showed obvious influence on the organic pollutant matters in the range of 300-420 nm. The results of three-dimensional excitation-emission matrix (3D-EEM) fluorescence spectra showed three protein-like peaks, namely low-excitation wavelength, tyrosine-like high-excitation wavelength, tyrosine-like high-excitation wavelength, tryptophan-like and two fulvic-like peaks, visible and ultra visible fulvic-like were found in the feed. The permeated contains two peaks with higher intensity than the feed, low-excitation wavelength tyrosine-like and high excitation wavelength tyrosine-like, while the other three peaks were shown in the concentrate. The acid and the base cleaning had great influence on the molecule chemical structure of the organic pollutants on the RO membrane and caused obvious location shifts. It can be concluded that the RO mainly separated the fulvic matter in the early stage leachate and the fouling consisted of fulvic-like matter together with the protein-like, and low-excitation wavelength tyrosine-like.