Cost-Efficient LEO Navigation Augmentation Constellation Design under a Constrained Deployment Approach by Jing Ren, Dan Sun, Deng Pan, Mingtao Li, Jianhua Zheng

“…They are solved by the genetic algorithm and differential evolution algorithm, and both Walker and Flower constellations are adopted. …”
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Optimal Allocation Method of Discrete Manufacturing Resources for Demand Coordination between Suppliers and Customers in a Fuzzy Environment by Wei Xu, Yinyun Yu

“…Next, the bilevel planning model for optimal configuration of manufacturing resources in discrete manufacturing environment is established under the consideration of the respective interests of both the customers and the suppliers, and the fast nondominated sorting genetic algorithm (NSGA-II) is used to solve the model. …”
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A Hybrid Constraints Handling Strategy for Multiconstrained Multiobjective Optimization Problem of Microgrid Economical/Environmental Dispatch by Xin Li, Jingang Lai, Ruoli Tang

“…Then, a hybrid constraints handling strategy (HCHS) based on nondominated sorting genetic algorithm II (NSGAII) is proposed to deal with the typical constraints, by which the constraints violations can be removed in several steps during the evolutionary process. …”
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Multiobjective Optimization Design of Truss Antenna by Di Wu, Xiaofei Ma, Jinbao Chen, Chuanzhi Chen, Jiang Zhao, Kunyang Lin

“…Finally, tolerance optimization is carried out by using the multiobjective genetic algorithm. The results indicate that the Pareto solution is obtained with an error less than 10%. …”
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GLBR: A novel global load balancing routing scheme based on intelligent computing in partially disconnected wireless sensor networks by Zeyu Sun, Guisheng Liao, Cao Zeng, Lan Lan, Guozeng Zhao

“…Second, we adopt the genetic algorithm to build extra routing between different segments for intersegment load balancing. …”
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Approach for designing and modelling of nanoscale DG MOSFET devices using Kriging metamodelling technique by Toufik Bentrcia, Fayçal Djeffal, Elasaad Chebaki

“…It is also shown that the obtained Kriging interpolation models are precise enough to be used as objective functions in the context of a genetic algorithm optimisation with the aim of improving the device analogue/RF performance in terms of transconductance and cut‐off frequency parameters. …”
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LPI Optimization Framework for Target Tracking in Radar Network Architectures Using Information-Theoretic Criteria by Chenguang Shi, Fei Wang, Mathini Sellathurai, Jianjiang Zhou

“…The resulting nonconvex and nonlinear LPI optimization problems associated with different information-theoretic criteria are cast under a unified framework, and the nonlinear programming based genetic algorithm (NPGA) is used to tackle the optimization problems in the framework. …”
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Enhancing Solar Energy Prospects: Predicting Direct Normal Irradiance in Qinghai Province Using ALO-RF Modeling by MD Abdul Munnaf, Tawhidul Islam

“…This study uses the Genetic algorithm, Moth Flame Optimization, and Ant Lion Optimizer to optimize the Random Forest model. …”
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Driver Distraction Identification with an Ensemble of Convolutional Neural Networks by Hesham M. Eraqi, Yehya Abouelnaga, Mohamed H. Saad, Mohamed N. Moustafa

“…The system consists of a genetically weighted ensemble of convolutional neural networks; we show that a weighted ensemble of classifiers using a genetic algorithm yields a better classification confidence. …”
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Robust pareto multiobjective optimum design of FG-Beam under moving mass by Moein Abdollah-Salimi, Nader Nariman-Zadeh, Reza Ansari

“…In addition to the means, the variance of the mentioned cost functions was considered to obtain robust behaviour in an uncertain space of parameters. By using a genetic algorithm, a fraction of constituents and an index of volume fraction (design variables) were selected so that objective functions were optimized. …”
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A Three-Stage Birandom Program for Unit Commitment with Wind Power Uncertainty by Na Zhang, Weidong Li, Rao Liu, Quan Lv, Liang Sun

“…A birandom simulation based hybrid genetic algorithm is designed to solve the proposed model. …”
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Presenting a multi-objective mathematical model with an integrated approach to scheduling and financial flow in production projects using NSGA-II by Sajad Janbaz, Seyed Mohammadreza Davoodi, Abdolmajid Abdolbaghi Ataabadi

“…Purpose: The current research aims to present a multi-objective mathematical model with an integrated approach to scheduling and financial flow in production projects using Non-dominated Sorting Genetic Algorithm II (NSGA-II).Methodology: This research presents a multi-objective mathematical model integrating scheduling and financial flow optimization in civil engineering projects. …”
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Improvement of a Free-Wake Model for the Aerodynamic and Aeroacoustic Analysis of a Small-Scale Two-Bladed Propeller in Hover by Manuel Iannotta, Antonio Visingardi, Domenico Quagliarella, Fabrizio De Gregorio, Mattia Barbarino, Alex Zanotti

“…An optimization procedure based on the application of the evolutionary Genetic Algorithm is followed to identify the values of the parameters describing the dissipative and diffusive properties in the Bhagwat–Leishman vortex core model, an upgraded version of the classical Lamb–Oseen one. …”
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Optimizing Customized Transit Service considering Stochastic Bus Arrival Time by Qian Sun, Steven Chien, Dawei Hu, Xiqiong Chen

“…A heuristic algorithm is developed, which integrates a hybrid genetic algorithm (HGA) and adaptive destroy-and-repair (ADAR) method. …”
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Two-Stage Solution for Meal Delivery Routing Optimization on Time-Sensitive Customer Satisfaction by Wenjie Wang, Li Jiang

“…In the second stage, a genetic algorithm (GA) is applied to solve the cluster-based delivery routing optimization model to find an optimal delivery route for meal orders in each delivery bundle. …”
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Combined AGADESN with DBSCAN Algorithm for Cluster Target Motion Intention Recognition by Xirui Xue, Shucai Huang, Daozhi Wei

“…In order to solve these problems, a joint algorithm of deep echo state network optimized by adaptive genetic algorithm (AGADESN) and DBSCAN clustering algorithm is proposed in this paper. …”
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Performance analysis of high-rate generalized space code index modulation system by BIAN Lina, ZHANG Qianyu, WU Jiayan

“…The traditional modulation symbols were replaced with the additional phase by the HR-GS-CIM system, and the genetic algorithm (GA) was used to optimize the design of the additional phase, which could acquire high energy efficiency advantage and performance advantage. …”
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Structural health evaluation of arch bridge by field test and optimized BPNN algorithm by Zhihua Xiong, Zhuoxi Liang, Xulin Mou, Yu Zhang

“…Back Propagation Neural Network (BPNN), Genetic Algorithm-based BPNN (GA-BPNN), Particle Swarm Optimization Algorithm-based BPNN (PSO-BPNN) approaches and test data analysis are adopted to compare the measured data with the simulated data to quantitatively identify the damage degree of the selected bridge. …”
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Machine Learning Approaches for Developing Land Cover Mapping by Ali Alzahrani, Awos Kanan

“…In this work, a genetic algorithm-based feature selection approach is used to enhance the performance of urban land cover classification. …”
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Determination of Slope Safety Factor with Analytical Solution and Searching Critical Slip Surface with Genetic-Traversal Random Method by Wen-jie Niu

“…In the current practice, to determine the safety factor of a slope with two-dimensional circular potential failure surface, one of the searching methods for the critical slip surface is Genetic Algorithm (GA), while the method to calculate the slope safety factor is Fellenius’ slices method. …”
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