A systematic review on search‐based test suite reduction: State‐of‐the‐art, taxonomy, and future directions by Amir Sohail Habib, Saif Ur Rehman Khan, Ebubeogu Amarachukwu Felix

Get full text

Numerical Study of Wave Reflection by The Curtain Wall-Pile Breakwater Using the SPH Model by Muhammad Farizqi Khaldirian, Marcio Tahalele, Inggrit Tri Trida Wahyu Satiti

“…The effectiveness of this breakwater has been extensively examined through experimental and numerical approaches in comparison to the conventional gravitational breakwater due to its reduced underwater footprint, which could be more environmentally sustainable. A Smoothed Particle Hydrodynamics (SPH) model using the open-source algorithm DualSPHysics is presented in this paper to simulate wave reflection on a CPB for multiple variables. …”
Get full text

Route Optimization for UVC Disinfection Robot Using Bio-Inspired Metaheuristic Techniques by Mario Peñacoba, Eduardo Bayona, Jesús Enrique Sierra-García, Matilde Santos

“…Bio-inspired metaheuristic algorithms such as the gazelle optimization algorithm, whale optimization algorithm, bat optimization algorithm, and particle swarm optimization are applied. …”
Get full text

Delineation of 3D crustal seismic structures beneath western Tibet and the Himalayan range using local earthquake tomography by Arghya Kusum Dey, Niptika Jana, Rahul Biswas

“…Preliminary events located using the VELEST algorithm resulted in the development of a 1-D velocity model through inversion, which was then used in the TomoDD algorithm to relocate earthquakes and generate a high-resolution 3-D velocity structure model. …”
Get full text

Study on Multi-Objective Optimization of Construction of Yellow River Grand Bridge by Jing Hu, Jinke Ji, Mengyuan Wang, Qingfu Li

“…Then, according to the multi-attribute utility theory, the objectives of different attributes are normalized, and the multi-objective equilibrium optimization model of construction time-cost-quality-environment-resource-carbon emission of the Yellow River Grand Bridge is obtained; finally, in order to avoid the shortcomings of a single algorithm, the particle swarm optimization algorithm and the simulated annealing algorithm are combined to obtain the simulated annealing particle swarm optimization (SA-PSO) algorithm. …”
Get full text

TeamPlus: A data-driven tool utilizing a Genetic Algorithm for optimal software team formation by Felipe Cunha, Mirko Perkusich, Danyllo Albuquerque, Kyller Gorgônio, Hyggo Almeida, Angelo Perkusich

“…We implemented this tool using a Genetic Algorithm (GA) with Convex Combination Crossover and validated it through two approaches: an experiment comparing our GA with traditional methods (i.e., Partially Mapped Crossover and One-Point Crossover) using data from 47 projects and 149 developers, and an evaluation of fifteen features by an industry expert, comparing them with tools from six recent studies. …”
Get full text

Prediction of Coiled Tubing Erosion Rate Based on Sparrow Search Algorithm Back-Propagation Neural Network Model by Yinping Cao, Fengying Fang, Guowei Wang, Wenyu Zhu, Yijie Hu

“…However, with the increase in fracturing, drilling, and sand-washing operations, the erosion of coiled tubing walls caused by solid particles has become one of the main failure modes. …”
Get full text

ENERGY SAVING IN EXTRACTIVE DISTILLATION by E. A. Anokhina

Get full text

Non-Gaussian Process Dynamical Models by Yaman Kindap, Simon Godsill

“…We present two novel inference methodologies for these new models based on the conditionally Gaussian formulation of NGPs which are suitable for both MCMC and marginalised particle filtering algorithms. The results are demonstrated on synthetically generated data sets.…”
Get full text

Comparative Analysis of Supervised Learning Techniques for Forecasting PV Current in South Africa by Ely Ondo Ekogha, Pius A. Owolawi

“…This work presents a comparative examination of supervised learning algorithms optimized with particle swarm optimization for estimating photovoltaic output current. …”
Get full text

Improved Binary Grey Wolf Optimization Approaches for Feature Selection Optimization by Jomana Yousef Khaseeb, Arabi Keshk, Anas Youssef

“…Each approach combines GWO with Particle Swarm Optimization (PSO) by implementing GWO followed by PSO. …”
Get full text

Impact of calibration set size for predicting soil fertility attributes using local pXRF spectral libraries by José Vinícius Ribeiro, Tiago Rodrigues Tavares, José Francirlei de Oliveira, Graziela M.C. Barbosa, Fábio Luiz Melquiades

“…Applying the Kennard-Stone sampling selection algorithm, calibration set sizes ranged from 36 to 276 samples, with increments of 20, for the Cambé field, and from 20 to 140 samples, also with increments of 20, for the Toledo field. …”
Get full text

Development of fault detection system in irrigation pumping systems using machine learning methods with consideration of energy and water consumption by Gulnar Zholdangarova, Waldemar Wójcik

Get full text

Characterization of Rock Pore Geometry and Mineralization Process via a Random Walk-Based Clogging Scheme by Linh Thi Hoai Nguyen, Tomoyuki Shirai, Takeshi Tsuji

Get full text

Effect of Social Sustainability on Supply Chain Resilience Before, During, and After the COVID-19 Pandemic in Mexico: A Partial Least Squares Structural Equation Modeling and Evolu... by Miguel Reyna-Castillo, Alejandro Santiago, Ana Xóchitl Barrios-del-Ángel, Francisco Manuel García-Reyes, Fausto Balderas, José Ignacio Anchondo-Pérez

Get full text

Design of Radix-8 Unsigned Bit Pair Recoding Algorithm-Based Floating-Point Multiplier for Neural Network Computations by J. Jean Jenifer Nesam, S. Sankar Ganesh

“…The computational cost of determining a 2’s complementary circuit and neglecting the sign bit extension of each partial product row in the Modified Booth Encoding (MBE) algorithm is effectively eliminated by BPR algorithm. …”
Get full text

A multi-objective optimization algorithm-based capacity scheduling method for photovoltaic power hybrid energy storage systems by Shuaijie Wang, Xin Guan, Shu Liu

“…In this study, the combination of crossover algorithm and particle swarm optimization—crossover algorithm-particle swarm optimization (CS-PSO) algorithm—to optimize photovoltaic hybrid energy storage scheduling, improving global search and convergence speed, is discussed. …”
Get full text

Low Capillary Elastic Flow Model Optimization Using the Lattice Boltzmann Method and Non-Dominated Sorting Genetic Algorithm by Yaqi Hou, Wei Zhang, Jiahua Hu, Feiyu Gao, Xuexue Zong

“…The hyperparameters of the machine learning model are optimized using the particle swarm algorithm. In contrast, the non-dominated sorting genetic algorithm (NSGA-II) is incorporated to optimize bubble lengths and stability. …”
Get full text

Comparative Analysis between Active Contour and Otsu Thresholding Segmentation Algorithms in Segmenting Brain Tumor Magnetic Resonance Imaging by Sarah Husham, Aida Mustapha, Salama A. Mostafa, Mohammed K. Al-Obaidi, Mazin Mohammed, Alyaa Idrees Abdulmaged, S. Thomas George

“…Our method chooses the best image among them based on the tumor size, initial location and shape to avoid the partial volume effects. The selected algorithms to test our method are Active Contour and Otsu Thresholding algorithms. …”
Get full text

Multi mobile agent itinerary planning based on network coverage and multi-objective discrete social spider optimization algorithm by Zhou-zhou LIU, Shi-ning LI

“…The multi mobile agent collaboration planning model was constructed based on the mobile agent load balancing and total network energy consumption index.In order to prolong the network lifetime,the network node dormancy mechanism based on WSN network coverage was put forward,using fewer worked nodes to meet the requirements of network coverage.According to the multi mobile agent collaborative planning technical features,the multi-objective discrete social spider optimization algorithm (MDSSO) with Pareto optimal solutions was designed.The interpolation learning and exchange variations particle updating strategy was redefined,and the optimal set size was adjusted dynamically,which helps to improve the accuracy of MDSSO.Simulation results show that the proposed algorithm can quickly give the WSN multi mobile agent path planning scheme,and compared with other schemes,the network total energy consumption has reduced by 15%,and the network lifetime has increased by 23%.…”
Get full text