A Decision-Making Model for Autonomous Vehicles at Urban Intersections Based on Conflict Resolution by Zi-jia Wang, Xue-mei Chen, Pin Wang, Meng-xi Li, Yang-jia-xin Ou, Han Zhang

“…After that, a nondominated sorting genetic algorithm (NSGA-II) and deep deterministic policy gradient (DDPG) are employed to select the optimal motions in comparison with each other. …”
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An Estimation Model on Electricity Consumption of New Metro Stations by Zhao Yu, Yun Bai, Qian Fu, Yao Chen, Baohua Mao

“…., passenger volume, air temperature and relative humidity). A genetic algorithm with five-fold cross-validation is used to optimize the hyper-parameters of the SVR model in order to improve its accuracy in estimating the electricity consumption of a metro station (ECMS). …”
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Sintesis Dimensi Manipulator Paralel Bidang Dua Derajat Kebebasan Dengan Rantai Kinematik Paralelogram Simetris by Adriyan Adriyan

“…An optimization process using non-sorted dominated genetic algorithm II (NSGA-II) was carried out for maximization of (<em>i</em>) <em>r</em>_MIC (the radius of the maximum inscribed circle) and GCI (global conditioning index), and (ii) <em>r</em>_MIC and GTI (global transmission index). …”
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Shallow Foundation Settlement Quantification: Application of Hybridized Adaptive Neuro-Fuzzy Inference System Model by Mariamme Mohammed, Ahmad Sharafati, Nadhir Al-Ansari, Zaher Mundher Yaseen

“…This research emphasis on the implementation of newly developed machine learning models called hybridized Adaptive Neuro-Fuzzy Inference System (ANFIS) with Particle Swarm Optimization (PSO) algorithm, Ant Colony optimizer (ACO), Differential Evolution (DE), and Genetic Algorithm (GA) as efficient approaches to predict settlement of shallow foundation over cohesion soil properties. …”
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Optimal Coordination of TCSC and PSS2B Controllers in Electric Power Systems Using MOPSO Multiobjective Algorithm by Mehrdad Ahmadi Kamarposhti, Hassan Shokouhandeh, Yahya Gholami Omali, Ilhami Colak, Phatiphat Thounthong, William Holderbaum

“…The MOPSO algorithm optimization results are compared with nondominated sorting genetic algorithm (NSGAII) and multiobjective differential evolution (MODE) algorithms. …”
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Design optimization of the podded propulsor considering pod housing drag and propulsion motor performance by Yuhang Zhou, Chengjiang Liu, Yao Yan, Quan Chen, Wenliang Ke

“…Sensitivity analysis revealed that the stator outer diameter and fore taper angle are key factors influencing motor performance and drag, respectively. A genetic algorithm was used to optimize the POD with bi-objective and tri-objective focuses on minimizing drag, maximizing motor efficiency and power density. …”
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Active Suspension Based on a Motor-Driving Compacted Double-Gas-Chamber Hydro-Pneumatic Strut by Ruihong Li, Bing Ma, Fan Yang, Dezhao Lin, Weiqiang Zhang

“…The controller is built based on the quarter-car model with the MDHPS model and the optimal values are identified through the Ziegler-Nichols method and Genetic Algorithm (GA). Finally, to investigate the attitude control effect of MDHPS, the full-car model is established based on the co-simulation of Carsim and Matlab/Simulink. …”
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Ship-Borne Phased Array Radar Using GA Based Adaptive α-β-γ Filter for Beamforming Compensation and Air Target Tracking by J. Mar, Chen-Chih Liu, M. B. Basnet

“…In this paper, the adaptive α-β-γ filter is proposed for the ship-borne phased array radar to compensate for the beam pointing error and to track the air target. The genetic algorithm (GA) and the particle swarm optimization (PSO) methods are applied to estimate the gain parameters of adaptive α-β-γ filters, while achieving the optimum objective of minimum root mean square error (RMSE). …”
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Maximizing efficiency and performance of water distribution systems through the implementation of optimization algorithms: A comprehensive analysis of valve and chlorine booster pl... by Mohamadreza Najarzadegan, Mehrtash Eskandaripour

“…By employing advanced optimization algorithms, specifically the Genetic Algorithm (GA) and Slime Mould Algorithm (SMA), the research identifies optimal configurations across two benchmark networks, Jowitt and Xu and GoYang. …”
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An Efficient Tourism Path Approach Based on Improved Ant Colony Optimization in Hilly Areas by Mohamed A. Damos, Wenbo Xu, Jun Zhu, Ali Ahmed, Abdolraheem Khader

“…The limitations of the traditional ACO and the Genetic Algorithm (GA) are addressed by improving pheromone updating techniques and implementing new initialization parameters. …”
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A multi-objective mathematical model for optimization design of humanitarian logistics network using meta-heuristic algorithm: a model to enhance actors’ coordination by Behzad Masoomi, Hassanali Aghajani, Ahmad Jafarnejad, Mohammad Mehdi Movahedi

“…The proposed model has been solved using two metaheuristic algorithms named multi-objective genetic algorithm and multi-objective particle swarm optimization.Findings: The implementation of this study will lead to a reduction in the costs of locating, routing and reconstruction in the humanitarian supply chain, as well as reducing the time of providing aid to the affected people and increasing their satisfaction. …”
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Using crafted features and polar bear optimization algorithm for short-term electric load forecast system by Mansi Bhatnagar, Gregor Rozinaj, Radoslav Vargic

“…PBO was compared with commonly used optimization algorithms like particle swarm optimization (PSO) and genetic algorithm (GA). GA was the least performing with XGBoost, LightGBM, and Random Forest. …”
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Power Prioritization and Load Shedding in an Island with RESs Using ABC Algorithm by L. O. Mogaka, G. N. Nyakoe, M. J. Saulo

“…The results are then compared with those of Genetic Algorithm (GA), Particle Swarm Optimization (PSO), and GA-PSO hybrid. …”
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Deployment Optimization of Connected and Automated Vehicle Lanes with the Safety Benefits on Roadway Networks by Zhibo Gao, Zhizhou Wu, Wei Hao, Kejun Long

“…In addition, the upper level is the decision-making scheme of the lane deployment, while the lower level is the traffic assignment model including CAV and HV modes based on the decision-making scheme of the upper level. After that, a genetic algorithm was designed to solve the model. Finally, a medium-scaled traffic network was selected to verify the effectiveness of the proposed model and algorithm. …”
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Emission prediction and optimization of methanol/diesel dual-fuel engines based on ITransformer-BiGRU and NSGA-III by Mingzhang Pan, Xinxin Cao, Changcheng Fu, Shengyou Liao, Xiaorong Zhou, Wei Guan

“…Finally, based on the obtained mathematical model, the 3rd Non-dominated Sorting Genetic Algorithm (NGSA-III) is used to adjust and optimize the control parameters. …”
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The Optimization of Path Planning for Express Delivery Based on Clone Adaptive Ant Colony Optimization by Yao Zhang, Yan Liu, Chaoqun Li, Yang Liu, Jie Zhou

“…Finally, by comparing the performance of CAACO with ant colony optimization (ACO), simulated annealing (SA), and genetic algorithm (GA), the effectiveness of CAACO in solving the express LAMP is verified. …”
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Optimization of Flow Shop Scheduling in Precast Concrete Component Production via Mixed-Integer Linear Programming by Zhansheng Liu, Zisheng Liu, Meng Liu, Jingjing Wang

“…Flow-arrangement optimization is generally performed using the genetic algorithm. However, this method cannot always yield a perfect optimal solution. …”
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An Integrated Method for Selecting Architecture Alternatives and Reconfiguration Options Towards System-of-Systems Resilience by Zhemei Fang, Hang Li, Dazhi Chen

“…After developing an SoS effectiveness evaluator, the method constructs an integrated multi-objective formulation for the initial architecture selection and reconfiguration process, and provides a solution algorithm based on a fast non-dominated sorting genetic algorithm. An application to an air and missile defense SoS illustrates the effectiveness of the proposed method. …”
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MABC: Power-Based Location Planning with a Modified ABC Algorithm for 5G Networks by Ruchi Sachan, Zahid Muhammad, Jaehoon (Paul) Jeong, Chang Wook Ahn, Hee Yong Youn

“…To estimate the optimal configuration of BSes and reduce the power requirement of connected UEs, we enhanced the ABC algorithm, which is named a Modified ABC (MABC) algorithm, and compared it with the latest work on Real-Coded Genetic Algorithm (RCGA) and Differential Evolution (DE) algorithm. …”
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A four‐stage yield optimization technique for analog integrated circuits using optimal computing budget allocation and evolutionary algorithms by Abbas Yaseri, Mohammad Hossein Maghami, Mehdi Radmehr

“…Then in the second and third stages, the shuffled frog‐leaping algorithm and the Non‐dominated Sorting Genetic Algorithm‐III are proposed to improve the performance. …”
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