Multifactor Algorithm for Test Case Selection and Ordering by Atulya Gupta, Rajendra Prasad Mahapatra

“…Many former studies revealed the heuristic-dependent mechanism to attain optimality while reducing or prioritizing test cases. …”
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Optimal Assembly Position and Multi-objective Trajectory Optimization for Dual Robotic Arms Collaboration by Wang Tianrui, Tao Ping

“…Finally, based on the optimal position of flexibility, the multi-objective particle swarm algorithm is used to optimize the trajectory with the objectives of time, energy consumption and impact; by performing simulation analysis in the Matlab robot simulation platform, the results show that, by applying the flexibility index to the trajectory planning, it can improve the operation efficiency of the robotic arm, while reducing energy consumption and impact loss, and maintain a high degree of operability during the whole motion process, effectively avoiding the randomness of the traditional manual teaching method, thus realizing the optimal flexible trajectory planning for collaborative assembly of dual robotic arms.…”
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Subsampling Algorithms for Irregularly Spaced Autoregressive Models by Jiaqi Liu, Ziyang Wang, HaiYing Wang, Nalini Ravishanker

“…The effectiveness of these methods depends on their ability to identify and select data points that improve the estimation efficiency according to some optimality criteria. While much of the existing research has focused on subsampling techniques for independent data, there is considerable potential for developing methods tailored to dependent data, particularly in time-dependent contexts. …”
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Cooperative routing algorithm based on game theory by Kun XIE, Shen-lin DUAN, Ji-gang WEN, Shi-ming HE

“…The proposed repeated routing game can approach to pareto optimality. Simulation result shows that this algorithm is capable of promoting cooperation between selfish nodes, which results in high delivery ratio, low transmission delay and energy consumption.…”
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Cooperative routing algorithm based on game theory by Kun XIE, Shen-lin DUAN, Ji-gang WEN, Shi-ming HE

“…The proposed repeated routing game can approach to pareto optimality. Simulation result shows that this algorithm is capable of promoting cooperation between selfish nodes, which results in high delivery ratio, low transmission delay and energy consumption.…”
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Exact Algorithms for the Satellite Image Selection Problem by Swat Sylwester, Antczak Maciej, Zok Tomasz, Blazewicz Jacek, Musial Jedrzej

“…The main question is how to optimally select the subset of available images to fully cover the AOI while minimizing total cost and cloud coverage. …”
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Stochastic Explicit Calibration Algorithm for Survival Models by Jeongho Park, Sangwook Kang, Gwangsu Kim

“…In this study, we introduce Stochastic Explicit Calibration (S-cal), an algorithm that employs random intervals instead of fixed bins, thereby advancing the calibration methods used in deep networks. …”
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Predictive modelling of whole-body vibration transmission through strategic locations of human body using artificial neural networks by Ali Murtoja Shaikh, Bibhuti Bhusan Mandal

“…Methods: Employing a multilayer feed-forward neural network integrated with the back propagation algorithm, an optimal setup was explored. Data were collected from 52 adult male subjects. …”
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A Multiswarm Optimizer for Distributed Decision Making in Virtual Enterprise Risk Management by Yichuan Shao, Xingjia Yao, Liwei Tian, Hanning Chen

“…We develop an optimization model for risk management in a virtual enterprise environment based on a novel multiswarm particle swarm optimizer called PS2O. …”
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Multi-Objective optimization of a cascaded supercritical CO2 brayton cycle with ejector-enhanced transcritical CO2 and flash tank absorption refrigeration cycles by Tausif Elahi Khan, Sakibul Haque Sakib, Nazmus Sakib, Tanvir Hossain, M.Monjurul Ehsan, Yasin Khan

“…The FCAR subsystem contributes additional cooling capacity, while the ETCR subsystem enhances the chiller load by minimizing waste heat from the cooler. …”
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Advanced removal of butylparaben from aqueous solutions using magnetic molybdenum disulfide nanocomposite modified with chitosan/beta-cyclodextrin and parametric evaluation through... by Saeed Hosseinpour, Alieh Rezagholizade-shirvan, Mohammad Golaki, Amir Mohammadi, Amir Sheikhmohammadi, Zahra Atafar

“…The research examines the efficient butylparaben (BUP) elimination process from aqueous media through beta-cyclodextrin/chitosan-modified magnetic molybdenum disulfide nanocomposite (BCCMM) utilization. A multi-algorithmic approach involving Gradient Boosting Regression (GBR), Polynomial Regression (PR) together with Limited-memory Broyden-Fletcher-Goldfarb-Shanno (L-BFGS) was used to enhance removal condition optimization. …”
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Enhancing Smart and Zero-Carbon Cities Through a Hybrid CNN-LSTM Algorithm for Sustainable AI-Driven Solar Power Forecasting (SAI-SPF) by Haytham Elmousalami, Felix Kin Peng Hui, Aljawharah A. Alnaser

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Particle Swarm Optimization with Various Inertia Weight Variants for Optimal Power Flow Solution by Prabha Umapathy, C. Venkataseshaiah, M. Senthil Arumugam

“…It is observed that the PSO algorithm with the proposed inertia weight yields better results, both in terms of optimal solution and faster convergence. …”
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A Quantum-Inspired Optimization Strategy for Optimal Dispatch to Increase Heat and Power Efficiency by K. Vanitha, B. Jyothi, R. Seshu Kumar, V. S. Chandrika, Arvind R. Singh, R. M. Naidoo

“…In this research work, a novel quantum-inspired optimization algorithm is proposed for the first time to solve the optimal dispatch problem of CHP systems. …”
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A Hybrid MCDM-Grey Wolf Optimizer Approach for Multi-Objective Parametric Optimization of μ-EDM Process by Partha Protim Das

“…This paper attempts to demonstrate the applicability of three well-known multi-criteria decision-making (MCDM) techniques, including the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS), multi-attributive border approximation area comparison (MABAC), and complex proportional assessment (COPRAS) methods, separately hybridized with the grey wolf optimization (GWO) algorithm. The proposed hybrid optimization approaches are applied to find the optimal parametric setting of a μ-EDM process during machining on a stainless steel shim as the work material. …”
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ADVCSO: Adaptive Dynamically Enhanced Variant of Chicken Swarm Optimization for Combinatorial Optimization Problems by Kunwei Wu, Liangshun Wang, Mingming Liu

“…High-dimensional complex optimization problems are pervasive in engineering and scientific computing, yet conventional algorithms struggle to meet collaborative optimization requirements due to computational complexity. …”
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Type VII secretion system gene mutations driving global mycobacterium tuberculosis transmission revealed by whole genomic sequence by Jian-Jun Yang, Jian-Jun Yang, Yuan-long Hu, Ping-yi Sun, Ling Wang, Xian-Jin Xie, Ting-Ting Wang

“…Initially, Boruta algorithm was used to pinpoint SNPs that were significant for TB transmission. …”
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Multi-objective allocation optimization model for water resources from a coal mine in the Inner Mongolia-Shaanxi contiguous area by Hechao MIAO, Shuning DONG, Hao WANG, Yuanyuan YANG, Wei QIAO, Xiaodong WANG, Dongqi WANG, Hongyang FU, Yuting LIU

“…The results of this study provide a theoretical basis and practical guidance for the scientific management and comprehensive utilization of mine water in mining areas while also offering a reference for the allocation optimization of similar resources.…”
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Opposition-Based White Shark Optimizer for Optimizing Modified EfficientNetV2 in Road Crack Classification by Mohammed Al-Shalabi, Mohammed A. Mahdi, Malik Braik, Mohammed Azmi Al-Betar, Shahanawaj Ahamad, Sawsan A. Saad

“…Preprocessing techniques are first applied to eliminate noise and enhance image quality. The OWSO algorithm is then integrated to optimize the classification performance of MEfficientNetV2, while PCA accelerates the learning process by retaining critical features in the thresholds of the varying components. …”
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An Improved Spider Wasp Optimizer for Green Vehicle Route Planning in Flower Collection by Mengxin Lu, Shujuan Wang

“…Moreover, a Genetic Neighborhood Comprehensive Spider Wasp Algorithm (GN_CSWA) is proposed to find the solution to this problem. …”
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