Autonomous sortie scheduling for carrier aircraft fleet under towing mode by Zhilong Deng, Xuanbo Liu, Yuqi Dou, Xichao Su, Haixu Li, Lei Wang, Xinwei Wang

“…To efficiently solve the formulated HFSP, which is essentially a combinatorial problem with tightly coupled constraints, a chaos-initialized genetic algorithm is developed. The solution framework is validated by the simulation environment referring to the Fort-class carrier, exhibiting higher sortie efficiency when compared to existing strategies. …”
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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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Robust H-Infinity Filter and PSO-SVM Based Monitoring of Power Quality Disturbances System by Prakash K. Ray, Harish Kumar Sahoo, Asit Mohanty, Javed Khan Bhutto, Abdulwasa Bakr Barnawi, Abdulmjeed Ali Alshaya

“…The validity of the classification analysis is reinforced by the inclusion of experimental data gathered from a prototype wind energy system and photovoltaic (PV) system setup. Again, Genetic algorithm (GA) is used for extracting optimal features and Particle swarm optimization (PSO) is applied for optimising the heuristic parameters of the SVM in order to improvise the classification accuracy under normal, noisy as well as increased penetration of wind and photovoltaic (PV) systems.…”
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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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Multi-Objective Optimization Design for Cold-Region Office Buildings Balancing Outdoor Thermal Comfort and Building Energy Consumption by Fei Guo, Shiyu Miao, Sheng Xu, Mingxuan Luo, Jing Dong, Hongchi Zhang

“…The Non-dominated Sorting Genetic Algorithm II (NSGA-II) is applied to coordinate two performance metrics—outdoor thermal comfort and building energy loads—for the multi-objective optimization of architectural design. …”
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A Novel Hybrid Die Design for Enhanced Grain Refinement: Vortex Extrusion–Equal-Channel Angular Pressing (Vo-CAP) by Hüseyin Beytüt, Kerim Özbeyaz, Şemsettin Temiz

“…The optimization process utilized an integrated approach combining Finite Element Analysis (FEA), artificial neural networks (ANNs), and the non-dominated sorting genetic algorithm II (NSGA-II). The optimized die successfully achieved a balance between maximizing effective strain while minimizing pressing load and strain inhomogeneity. …”
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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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Comparative study of conventional and process intensification by reactive distillation designs for glycerol carbonate production from glycerol and diethyl carbonate by Bushra Chalermthai, Chayanin Sriharuethai, Bradley D. Olsen, Kanokwan Ngaosuwan, Apinan Soottitantawat, Suttichai Assabumrungrat, Pongtorn Charoensuppanimit

“…In both cases, the process optimizations were carried out by connecting the process models in Aspen Plus to MATLAB, using the Genetic Algorithm as the optimizer. The results showed that Case II was superior to Case I in terms of energy utilization, CO2 emissions, and economics with the specific energy consumption of 1.92 kWh/kg of diethyl carbonate, % internal rate of return of 274, payback period of 1.44 years, and CO2 emissions of 0.26 kg CO2/kg DEC. …”
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Designing a Dynamic and Sustainable Cellular Manufacturing System by Considering the Amount of Energy Consumption and Manpower in Production Planning by Nader Ghanei, Gholam Reza Esmaeilian, Amir Saman Kheirkhah

“…Due to the NP-hardness of the proposed model and the inability of the GAMS software to find optimal solutions for large-scale problems, a non-dominant sorting genetic algorithm (NSGA-II) is presented to solve it. The results showed that the meta-heuristic method has reduced the solution time by at least three times compared to the epsilon constraint method; Also, reducing the level of environmental risks has led to an increase in production costs. …”
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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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