Fuzzy Theory-Based Data Placement for Scientific Workflows in Hybrid Cloud Environments by Zheyi Chen, Xu Zhao, Bing Lin

“…To address this problem, we propose an adaptive discrete particle swarm optimization algorithm based on the fuzzy theory and genetic algorithm operators (DPSO-FGA) to minimize the fuzzy data transmission time of scientific workflows. …”
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Antenna Configuration Method for RF Measurement Based on DOPs in Satellite Formation Flying by Weiqing Mu, Rongke Liu, Zijie Wang, Yukai Liu

“…Furthermore, the genetic algorithm (GA) with two encoding mechanisms is proposed to solve this problem. …”
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Sailing Speed Optimization Model for Slow Steaming Considering Loss Aversion Mechanism by Yuzhe Zhao, Jingmiao Zhou, Yujun Fan, Haibo Kuang

“…The value functions against the benchmark speed were constructed based on physiological expected utility (PEU) to reveal the features of loss aversion, and the objective function was derived from these value functions with the aim to optimize the sailing speed. After that, a Genetic Algorithm (GA) solution with fitness function and special operators was built to solve the proposed model. …”
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Multitask Oriented Virtual Resource Integration and Optimal Scheduling in Cloud Manufacturing by Zhen Cheng, Dechen Zhan, Xibin Zhao, Hai Wan

“…According to the correlation model and characteristics of resource sharing, the formulation in which resource time-sharing scheduling strategy is employed is put forward, and then the formulation is simplified to solve the problem easily. The genetic algorithm based on the real number matrix encoding is proposed. …”
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An Unconventional Approach for Analyzing the Mechanical Properties of Natural Fiber Composite Using Convolutional Neural Network by Govindaraj Ramkumar, Satyajeet Sahoo, G. Anitha, S. Ramesh, P. Nirmala, M. Tamilselvi, Ram Subbiah, S. Rajkumar

“…The optimum microstructural model is identified by a developed model embedded with a genetic algorithm (GA) optimizer. The optimizer converges to conformations with highly enhanced properties. …”
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Research on Congestion Pricing in Multimode Traffic considering Delay and Emission by Hongna Dai, Enjian Yao, Rui Zhao

“…Third, an improved mathematical algorithm combining successive average method with the genetic algorithm is proposed to solve the bilevel programming problem. …”
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Optimization in Construction Management Using Adaptive Opposition Slime Mould Algorithm by Pham Vu Hong Son, Luu Ngoc Quynh Khoi

“…In order to compare AOSMA with a nondominated sorting genetic algorithm III (NSGA III), multiobjective particle swarm optimization (MOPSO), LHS-based NSGA III, and a hybrid model of MAWA (MAWA-TLBO, MAWA-GA, MAWA-AS, and MAWA-ACS-SGPU) and to assess the model’s potential and viability, performance evaluation indexes are applied. …”
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Green Logistics Location-Routing Optimization Solution Based on Improved GA A1gorithm considering Low-Carbon and Environmental Protection by Anqing Zhu, Youyun Wen

“…This paper proposes a green logistics location-routing optimization problem based on improved genetic algorithm (GA) from the perspective of low-carbon and environmental protection. …”
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Application of On-Board Evolutionary Algorithms to Underwater Robots to Optimally Replan Missions with Energy Constraints by M. L. Seto

“…An on-board knowledge-based agent, based on a genetic algorithm, was designed and validated to replan a near-optimal AUV survey mission. …”
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Feature Selection Using Particle Swarm Optimization in Intrusion Detection by Iftikhar Ahmad

“…Evolutionary optimization approach like genetic algorithm (GA) has been used to search the most discriminative subset of transformed features. …”
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Active Safety Planning Method for Transportation Network Design by Hongzhi Lin

“…A bilevel programming model system is proposed where the upper level is the urban planners’ decision to minimize the estimated total number of traffic accidents, and the lower level is the travelers’ response behaviors to achieve transportation system equilibrium. A genetic algorithm (GA) with elite strategy is proposed to solve the bilevel model. …”
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Practical Hybrid Machine Learning Approach for Estimation of Ultimate Load of Elliptical Concrete-Filled Steel Tubular Columns under Axial Loading by Tien-Thinh Le

“…The proposed model was Adaptive Neurofuzzy Inference System (ANFIS) combined with Real Coded Genetic Algorithm (RCGA), denoted as RCGA-ANFIS. The evaluation of the model was performed using the coefficient of determination (R2) and root mean square error (RMSE). …”
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Analysis of Consumer Behavior Data Based on Deep Neural Network Model by Shijiao Yuan

“…In order to improve the accuracy of sample classification and maximize the output function, genetic algorithm is used to optimize the samples. A deep neural network structure algorithm is proposed to classify customer transaction data samples. …”
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Application of Optimized BP Neural Network In Financial Alert System by Qiaoyi Gao

“…Considering the shortcomings of BP neural network, genetic algorithm is used to optimize the specification. …”
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Hybrid multi-objective optimization of µ-synthesis robust controller for frequency regulation in isolated microgrids by Abdallah Mohammed, Ahmed Kadry, Maged Abo-Adma, Adel El Samahy, Rasha Elazab

“…The controller is optimized using multi-objective particle swarm optimization (MOPSO) and multi-objective genetic algorithm (MOGA) under inequality constraints, employing a Pareto front to identify optimal solutions. …”
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Dimensional Evolution of Intelligent Cars Human-Machine Interface considering Take-Over Performance and Drivers’ Perception on Urban Roads by Hao Yang, Yueran Wang, Ruoyu Jia

“…The evolutionary mechanism of dimensions driven by users’ perception was constructed with a genetic algorithm. After debugging the parameters of the model, we verified the rationality of the model and evolved appropriate dimensions. …”
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Design of Signal Timing Plan for Urban Signalized Networks including Left Turn Prohibition by Qinrui Tang, Bernhard Friedrich

“…The optimal list of prohibited left turns was found using a genetic algorithm, and a combination of several algorithms was employed for the signal timing plan. …”
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Improved Ant Algorithms for Software Testing Cases Generation by Shunkun Yang, Tianlong Man, Jiaqi Xu

“…The proposed technique will be compared with random algorithm (RND) and genetic algorithm (GA) in terms of both efficiency and coverage. …”
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Enhancing Hydraulic Efficiency of Pelton Turbines Through Computational Fluid Dynamics and Metaheuristic Optimization by Guillermo Barragan, Sebastian Atarihuana, Edgar Cando, Victor Hidalgo

“…In this work, the NSGA-II multi objective genetic algorithm, numerical methods, and parametric design techniques found in the Autodesk Inventor professional 2023 CAD software were combined to perform the geometrical optimization of the Pelton bucket geometry. …”
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A Piecewise Hysteresis Model for a Damper of HIS System by Kaidong Tian, Bangji Zhang, Nong Zhang, Xuhui Liu, Jinchen Ji

“…The parameters of the model are identified based on genetic algorithm by setting the constraints of parameters according to their physical significances and the corresponding testing results. …”
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