A Multifactory Integrated Production and Distribution Scheduling Problem with Parallel Machines and Immediate Shipments Solved by Improved Whale Optimization Algorithm by Vahid Abdollahzadeh, Isa Nakhaikamalabadi, Seyyed Mohammad Hajimolana, Seyyed Hesamoddin Zegordi

“…Moreover, it confirms the capability of the improved whale optimization algorithm (IWOA) to solve the medium-scale instances; however, the results indicate the better performance of genetic algorithm (GA) for the large-scale instances.…”
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Feature Selection for Very Short-Term Heavy Rainfall Prediction Using Evolutionary Computation by Jae-Hyun Seo, Yong Hee Lee, Yong-Hyuk Kim

“…In comparative SVM tests using evolutionary algorithms, the results showed that genetic algorithm was considerably superior to differential evolution. …”
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Smart Cylindrical Dome Antenna Based on Active Frequency Selective Surface by Tongyu Ding, Shaoqing Zhang, Liang Zhang, Yanhui Liu

“…Moreover, in order to overcome the unavailable analytical synthesis caused by complex mutual coupling between columns, we develop a genetic algorithm based optimization system and conducted a serial of experiments to evaluate the high-gain, nulling, continuously steering, and frequency-invariant ability. …”
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GA-ARMA Model for Predicting IGS RTS Corrections by Mingyu Kim, Jeongrae Kim

“…We propose applying a genetic algorithm autoregressive moving average (GA-ARMA) model to predict the IGS RTS corrections during data loss periods. …”
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A Modified Asymmetric Bouc–Wen Model-Based Decoupling Control of an XY Piezoactuated Compliant Platform with Coupled Hysteresis Characteristics by Xubin Zhou, Weidong Chen, Qing Xiao, Xiangsen Kong, Xingtian Liu, Liping Zhou, Yichong Dong, Quan Zhang

“…To establish the hysteresis characteristics of the piezo-driven manipulator, a modified Bouc–Wen model has been proposed, and a Genetic Algorithm-based Particle Swarm Optimization (GA-PSO) was adopted to recognize the parameters of the model. …”
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Defining the Optimal Level of Pressure Fluctuations at Pressure Control Management Strategy for Reducing Water Losses in Water Networks by Talha İbrahim Arduçoğlu, Furkan Boztaş, Mahmut Fırat

“…In the next stage, the operating scenario for the flow-sensitive advanced pressure management was started to be created. Genetic algorithm was used in the MATLAB environment to create the most suitable scenario. …”
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Optimal compensation method for centrifugal impeller considering aerodynamic performance and dimensional accuracy by Tao Zhou, Sitong Xiang, Hainan Zhang, Jianguo Yang

“…Finally, based on the mapping model, the second-generation non-dominated sorting genetic algorithm was used to optimize the control points of the mirror compensation surface, and thereby obtain the optimal compensation surface. …”
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Optimized Skip-Stop Metro Line Operation Using Smart Card Data by Peitong Zhang, Zhanbo Sun, Xiaobo Liu

“…Different from the conventional “A/B” scheme, the proposed Flexible Skip-Stop Scheme (FSSS) can better accommodate spatially and temporally varied passenger demand. A genetic algorithm (GA) based approach is then developed to efficiently search for the optimal solution. …”
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Stock Price Change Rate Prediction by Utilizing Social Network Activities by Shangkun Deng, Takashi Mitsubuchi, Akito Sakurai

“…In this paper, we propose a hybrid model that combines multiple kernel learning (MKL) and genetic algorithm (GA). MKL is adopted to optimize the stock price change rate prediction models that are expressed in a multiple kernel linear function of different types of features extracted from different sources. …”
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Risk-Based Multiobjective Optimal Seismic Design for RC Piers Using the Response Surface Method and NSGA-II by Sicong Hu, Yixuan Zou, Yufeng Gai, Zheng Huang, Guquan Song

“…The Pareto optimal solutions of piers are determined by applying an improved version of the nondominated sorting genetic algorithm (NSGA-II). As a case study, the proposed optimal seismic design method is applied to a continuous concrete box girder bridge. …”
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Experimental and Mathematical Studies for Optimality of GTAW Parameters on Similar and Dissimilar Steel Substrates by Bandaru Kiran, Dega Nagaraju, Senthil Kumaran Selvaraj, Baye Molla

“…Furthermore, tensile tests are carried out for the weldments with optimal predefined weld parameters, and subsequently, the welded specimens with better tensile strength are discussed in the results. Genetic algorithm and mathematical modelling are opted for selecting the final optimal welding parameters. …”
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Investigation of improvements to city areas of importance to the implementation of clean water by Feby Milanie

“…Key findings highlight that the use of sensors to monitor water quality parameters such as pressure, flow, pH, chlorine, and turbidity; the application of the elitist nondominated sorting genetic algorithm (NSGA-II); and active community involvement with government support are effective in improving the quality and distribution of clean water. …”
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Evaluation on Filter Performance of Variational Mode Decomposition and Its Application in Separating Closely Spaced Modes by Wenjing Gu, Li Zhou

“…The initial center frequencies could be simply determined by prior estimated modal frequencies of the analyzed signal, while the constraint parameter is optimized utilizing a genetic algorithm (GA). A two-degree-of-freedom parametric system is considered to evaluate the capability of VMD in the separation of closely spaced modes. …”
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Construction of Mathematical Model of Logistics Delivering Based on Intelligent Mobilization by Haijun Liang, Jing Guo

“…The results show that compared with the traditional genetic algorithm, the accuracy of the improved particle swarm optimization algorithm is improved by 10.36%. …”
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Dual-Layer Dynamic Optimization Model for Carbon-Conscious Transport Mode Allocation by Jing Gan, Dongmei Yan, Linheng Li

“…A sophisticated fusion algorithm, integrating the Dial_MSA algorithm with a genetic algorithm (GA), is developed to solve the model. …”
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Positioning a Handshake Bay for Twin Stacking Cranes in an Automated Container Terminal Yard Block by Zhi-Hua Hu, Xi-Dan Tian, Yu-Qi Yin, Chen Wei

“…To solve the model, we developed a random-key genetic algorithm with a priority-based decoding scheme to optimize the task sequences and tasks assigned to the cranes. …”
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A Car-Following Model Based on Safety Margin considering ADAS and Driving Experience by Yugang Wang, Nengchao Lyu

“…Other four parameters (SMDL, SMDH, α1, and α2) were calibrated using a classical genetic algorithm, and the effects of ADAS and driving experience in these four parameters were analyzed using T-test. …”
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Fuzzy Sliding Mode Control with Moving Sliding Surface of Rotary Inverted Pendulum by Oğuz Yakut, Muhammet Aydın

“…The boundary values of the membership functions in the fuzzy logic structure have been optimized using genetic algorithm codes in Matlab program. The sum of the squares of the errors is preferred as the objective function. …”
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Enhancing network lifetime in WSNs through coot algorithm-based energy management model by Namita Shinde, Dr. Vinod H․ Patil

“…This addresses issues such as high energy consumption, communication delays, and security.To ensure energy savings and network reliability, the fitness function evaluates cluster heads and best routes based on constraints.COOT outperforms other Metaheuristics Algorithms like Butterfly Optimization Algorithm, Genetic Algorithm, Tunicate Swarm Gray Wolf Optimization Algorithm, and Bird Swarm Algorithm in simulation with performance measurements and enhancing network functionality and protection.Key methodology points include: • Proposed a multiple constraints clustering and routing technique using COAto solve the most crucial issues that arise in WSNs. • Integrated an advanced fitness function that determines cluster head selection, and the routing path based on residual energy, delay, security, trust, distance, and link quality so that energy load is evenly distributed and credible data flow is maintained across the network and made Innovative and Effective Solution. • Proven Results Demonstrated superior network performance, achieving the lowest delay, highest network lifetime (3571 rounds) and enhanced security (0.8) and trust (0.6) compared to existing algorithms with less energy consumption, making it the most suitable solution for WSN performance improvement.…”
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Short-Term Prediction of Traffic State for a Rural Road Applying Ensemble Learning Process by Arash Rasaizadi, Seyedehsan Seyedabrishami, Mohammad Saniee Abadeh

“…As there are many influential features on traffic state, the genetic algorithm (GA) has been used to identify 25 of 32 features, which are the most influential on models’ fitness. …”
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