Parameter optimization of the spiral fertiliser discharger for mango orchards based on the discrete element method and genetic algorithm

Article Engineering, Multidisciplinary

Boosting Whale Optimizer with Quasi-Oppositional Learning and Gaussian Barebone for Feature Selection and COVID-19 Image Segmentation

Jie Xing et al.

Summary: In this work, an improved Whale Optimization Algorithm (QGBWOA) is proposed to address the problems of falling into local optimum and slow convergence. Quasi-opposition-based learning and Gaussian barebone mechanism are introduced to enhance the searching ability and diversity of WOA. Experimental results on benchmark datasets demonstrate the significantly improved convergence accuracy and speed of QGBWOA. Furthermore, applications in feature selection and multi-threshold image segmentation validate its capability in solving complex real-world problems.

JOURNAL OF BIONIC ENGINEERING (2023)

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Article Engineering, Chemical

Parameter calibration of coconut bran substrate simulation model based on discrete element and response surface methodology

Liang Zhao et al.

Summary: The physical and simulation experiments were combined to calibrate the parameters of coconut bran discrete element simulation, leading to an optimal combination of parameters. The calibrated parameters can provide references for the selection of coconut bran discrete element simulation parameters and the design and optimization of related equipment.

POWDER TECHNOLOGY (2022)

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Article Biology

Breast cancer prediction using a hybrid method based on Butterfly Optimization Algorithm and Ant Lion Optimizer

Shankar Thawkar et al.

Summary: The article introduces a hybrid feature selection method based on the Butterfly optimization algorithm and the Ant Lion optimizer for the design and development of a computer-based system for breast cancer detection. The method outperforms original algorithms in terms of accuracy, sensitivity, specificity, and error rates, demonstrating high performance and robustness in breast cancer diagnosis.

COMPUTERS IN BIOLOGY AND MEDICINE (2021)

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Article Engineering, Chemical

The effect of paddle configurations on particle mixing in a soil-fertilizer continuous mixing device

Quanchun Yuan et al.

Summary: This study focused on improving particle mixing performance using a screw auger with paddles. The effects of paddle configurations on mixing performance and granular behavior were characterized using the discrete element method and experimental measurements. Results showed that paddle configurations significantly impacted mixing performance and granular behavior.

POWDER TECHNOLOGY (2021)

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Article Engineering, Chemical

Simulation and optimization of crushing chamber of gyratory crusher based on the DEM and GA

Zeren Chen et al.

Summary: The optimization of the gyratory crusher's crushing chamber using the discrete element method (DEM) has significantly improved performance. By establishing a prediction model through multiple nonlinear regression and performing multi-objective optimization with a genetic algorithm, productivity and power density have increased by 36% and 26% respectively. The optimized crushing force is approximately twice the original, while discharge granularity and power consumption have been reduced.

POWDER TECHNOLOGY (2021)

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Article Biology

An analytical study of modified multi-objective Harris Hawk Optimizer towards medical data feature selection

Jayashree Piri et al.

Summary: A new MOQBHHO technique is proposed, utilizing KNN method to extract optimal feature subsets, with crowding distance used as a third criterion. Experimental findings show that this method outperforms other existing multi-objective techniques, effectively finding non-dominated feature subsets.

COMPUTERS IN BIOLOGY AND MEDICINE (2021)

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Article Biology

A novel melanoma prediction model for imbalanced data using optimized SqueezeNet by bald eagle search optimization

Gehad Ismail Sayed et al.

Summary: A new melanoma skin cancer prediction model is proposed in this paper, which overcomes class imbalance by using random over-sampling and data augmentation techniques, achieving an accuracy of 98.37% and sensitivity of 100%, demonstrating high competitiveness.

COMPUTERS IN BIOLOGY AND MEDICINE (2021)

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Article Engineering, Chemical