An Enhanced Fractional Order Model of Ionic Polymer-Metal Composites Actuator by R. Caponetto, S. Graziani, F. Sapuppo, V. Tomasello

“…The minimization error was attained comparing the simple genetic algorithms with the simplex method and considering the error between the experimental and model derived frequency responses as cost functions.…”
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Optimization of the UWB Feed Antenna Position in Reflector Applications by Nurhan Türker Tokan

“…An automatic and fast design procedure, based on Genetic Algorithms, is described. The proposed methodology has been numerically and experimentally assessed. …”
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Computing Resource Allocation Strategy Using Biological Evolutionary Algorithm in UAV-Assisted Mobile Edge Computing by Li Wang, Xiang Yao, Zhenqi Yuan

“…Aiming at the problems of high computing energy consumption and long time in traditional UAV-assisted edge computing research work, a computing resource allocation strategy using biological evolutionary algorithms in UAV-assisted mobile edge computing is proposed by introducing UAV swarms and genetic algorithms. Firstly, it analyzes the communication model for uplink transmission, the calculation model for local computing tasks, and UAV to perform computing tasks. …”
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Electricity Usage Scheduling in Smart Building Environments Using Smart Devices by Eunji Lee, Hyokyung Bahn

“…An efficient heuristic based on genetic algorithms is performed on a smart device to cut down the huge searching space and find a reasonable schedule within a feasible time budget. …”
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Optimal Design of Double-stage Wheel Hub Reducer System based on Fuzzy Theory by Xiong Yong

“…Based on the characteristic of genetic algorithms,improving the weight coefficients of the search methods and increasing the optimization searching space,compared with other optimization methods,the result is improved. …”
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Automated Generation Control of Multiple-Area Electrical System with an Availability-Based Tariff Pricing Scheme Regulated by Whale Optimized Fuzzy PID Controller by Zaid Hamodat, Galip Cansever

“…., whale-optimized fuzzy PID controller, are investigated against already presented methods such as particle swarm optimization and genetic algorithms.…”
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Prediction of Concrete Compressive Strength by Evolutionary Artificial Neural Networks by Mehdi Nikoo, Farshid Torabian Moghadam, Łukasz Sadowski

“…Compressive strength of concrete has been predicted using evolutionary artificial neural networks (EANNs) as a combination of artificial neural network (ANN) and evolutionary search procedures, such as genetic algorithms (GA). In this paper for purpose of constructing models samples of cylindrical concrete parts with different characteristics have been used with 173 experimental data patterns. …”
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Unveiling the Potential of Metaheuristics in Transportation: A Path Towards Efficiency, Optimization, and Intelligent Management by Álvaro Bueno-Ferrer, Jaime De Pablo Valenciano, Jerónimo De Burgos Jiménez

“…The main areas of application are optimization and metaheuristic methods, cost and operational efficiency, planning and scheduling, logistics and transportation, supply chain and logistics networks, energy and sustainability, and demand and users. Additionally, genetic algorithms stand out as particularly important. …”
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On the Efficient Broadcasting of Heterogeneous Services over Band-Limited Channels: Unequal Power Allocation for Wavelet Packet Division Multiplexing by Maurizio Murroni

“…We address this problem by means of the genetic algorithms (GAs), which allow flexible suboptimal solution with reduced complexity. …”
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Generalized Heptagonal Membership Function for Fully Fuzzy Linear Fractional Programming Problems by Israa Hadi, Iden H. Al Kanani

“…Several approaches, including linear programming, nonlinear programming, genetic algorithms, and computational intelligence algorithms, have been suggested to handle fully fuzzy fractional linear programming (FFFL) problems. …”
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A Binary Cuckoo Search for Combinatorial Optimization in Multiyear Pavement Maintenance Programs by Feng Xiao, Shunxin Yang, Jianchuan Cheng, Mingyu Hou, Chenzhu Wang

“…For the optimization analysis of pavement maintenance programs, combinatorial optimization is a pervasive problem. Genetic algorithms (GAs) are widely used to solve combinatorial optimization problems in pavement maintenance programs. …”
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Finding p-Hub Median Locations: An Empirical Study on Problems and Solution Techniques by Xiaoqian Sun, Weibin Dai, Yu Zhang, Sebastian Wandelt

“…Classical problems in small networks can be solved efficiently using CPLEX because of their low complexity. Genetic algorithms perform well for solving three types of single allocation problems, since the problem formulations can be neatly encoded with chromosomes of reasonable size. …”
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Research Status on Jumping Function of Quadruped Robots by Hua Congcong, Yang Zihe, Xia Yanting, Yan Jianrong, Gao Guanjian, Luo Fuliang, Ma Wenshuo, Li Zhijie

“…In addition, advanced control methods such as reinforcement learning, neural networks, and genetic algorithms also were explored and applied. These methods can improve the jumping performance, the stability, and the adaptability, enabling robots to achieve efficient jumping in dynamic and complex environments.…”
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Sensor and Dynamic Pricing Aware Vertical Transportation in Smart Buildings by Hyunkyoung Choi, Kyungwoon Cho, Hyokyung Bahn

“…As this is a complex optimization problem, we use an evolutionary computation technique based on genetic algorithms (GA). We inject a learning module into the control unit of ECS, which monitors the change of the electricity price and the passengers’ traffic detected by sensors. …”
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Evolutionary Computation and Its Applications in Neural and Fuzzy Systems by Biaobiao Zhang, Yue Wu, Jiabin Lu, K.-L. Du

“…In this paper, we first introduce evolutionary algorithms with emphasis on genetic algorithms and evolutionary strategies. Other evolutionary algorithms such as genetic programming, evolutionary programming, particle swarm optimization, immune algorithm, and ant colony optimization are also described. …”
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Prospects of cold plasma in enhancing food phenolics: analyzing nutritional potential and process optimization through RSM and AI techniques by M. Anjaly Shanker, Sandeep Singh Rana

“…It also covers the convention of artificial intelligence-based methods, such as artificial neural networks (ANN) and genetic algorithms (GA), in evaluating the data on process parameters. …”
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METHOD FOR DETERMINING CYCLE NUMBER OF VEHICLE BENCH DURABILITY TEST BASED ON EQUAL DAMAGE PRINCIPLE AND NSGA-Ⅱ ALGORITHM by ZHAO ShanZheng, YU JiaWei, LUAN ShiJie, ZHENG SongLin, ZHU LianFeng, WANG YiRong

“…The Pareto optimal solution was obtained by using fast and elitist non-dominated sorting in genetic algorithms（ NSGA-Ⅱ） algorithm to solve the model. …”
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Improved Clonal Selection Algorithm Based on Biological Forgetting Mechanism by Chao Yang, Bing-qiu Chen, Lin Jia, Hai-yang Wen

“…Compared with the existing clonal selection and genetic algorithms, the experiment and time complexity analysis show that the algorithm has good optimization efficiency and stability.…”
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Modeling the effect of extrusion parameters on density of biomass pellet using artificial neural network by Abedin Zafari, Mohammad Hossein Kianmehr, Rahman Abdolahzadeh

“…Shankar and Bandyopadhyay and Shankar et al. successfully used genetic algorithms and artificial neural networks to understand and optimize an extrusion process. …”
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Evolutionary Computation with Spatial Receding Horizon Control to Minimize Network Coding Resources by Xiao-Bing Hu, Mark S. Leeson

“…The minimization of network coding resources, such as coding nodes and links, is a challenging task, not only because it is a NP-hard problem, but also because the problem scale is huge; for example, networks in real world may have thousands or even millions of nodes and links. Genetic algorithms (GAs) have a good potential of resolving NP-hard problems like the network coding problem (NCP), but as a population-based algorithm, serious scalability and applicability problems are often confronted when GAs are applied to large- or huge-scale systems. …”
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