Evolutionary Game Algorithm for Image Segmentation by Jin Zhong, Hao Wu

“…Experimental results show that the method proposed in this paper makes the detail of segmentation image syllabify and has better antijamming capability; the improved genetic algorithm which used searching optimal solution has faster convergence speed and better global search capability.…”
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AP Deployment Research Based on Physical Distance and Channel Isolation by Dangui Yan, Chengchang Zhang, Honghua Liao, Lisheng Yang, Ping Li, Guogang Yang

“…First, it detects the position information of deployed APs and then calculates the interference penalty factor combined with physical distance and channel isolation, and finally gets the optimal location and channel of the new AP through the genetic algorithm. Comparing with NOOCA algorithm and NOFA-2 algorithm, the results of numerical simulation show that the new algorithm can minimize the mutual interference between basic service sets (BSS), can ensure the maximum of throughput based on quality of service (QoS) in BSS, and can effectively improve the system performance.…”
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Parametric study and optimization of thermal performance and pressure drop in heat sinks with double-layer porous microchannels by Fahimeh Aliyari, Keivan Fallah, Hossein Zolfaghary Azizi, Farhad Hosseinnejad

“…In the continuation of the research, the extracted parameters were used as inputs for optimization with a multi-objective genetic algorithm aimed at enhancing thermal performance and reducing pressure drop. …”
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Research on Parking Service Optimization Based on Permit Reservation and Allocation by Duo Xu, Huijun Sun

“…It first analyzes the characteristics and costs of “arrival priority” and “reservation priority” modes, and then, it proposes the parking permit reservation and allocation mode based on “service order optimization” and designs an “ant colony-genetic” algorithm to solve the optimal service order. The numerical example shows that the measures of quantity control and matching optimization are effective in parking management. …”
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Identifying Initial Condition in Degenerate Parabolic Equation with Singular Potential by K. Atifi, Y. Balouki, El-H. Essoufi, B. Khouiti

“…To solve it, we prove the existence of at least one solution of problem and we propose two approaches: the first is based on a Tikhonov regularization, while the second approach is based on a hybrid genetic algorithm (married genetic with descent method type gradient). …”
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Optimization of Sound Transmission Loss through a Thin Functionally Graded Material Cylindrical Shell by Ali Nouri, Sohrab Astaraki

“…The maximizing of sound transmission loss (TL) across a functionally graded material (FGM) cylindrical shell has been conducted using a genetic algorithm (GA). To prevent the softening effect from occurring due to optimization, the objective function is modified based on the first resonant frequency. …”
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Improvement of and Parameter Identification for the Bimodal Time-Varying Modified Kanai-Tajimi Power Spectral Model by Huiguo Chen, Ting Zhong, Guocui Liu, Junru Ren

“…Based on the Kanai-Tajimi power spectrum filtering method proposed by Du Xiuli et al., a genetic algorithm and a quadratic optimization identification technique are employed to improve the bimodal time-varying modified Kanai-Tajimi power spectral model and the parameter identification method proposed by Vlachos et al. …”
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Transmitter selection and receiver placement for target parameter estimation in cooperative radar‐communications system by Liming Wang, Qian He, Huiyong Li

“…To efficiently solve this mix‐integer non‐linear programming problem approximately, a genetic algorithm (GA)‐based method is proposed. It is shown that the result obtained by the proposed algorithm is close enough to the optimum solution of the JTSRP problem. …”
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An Evolutionary Video Assignment Optimization Technique for VOD System in Heterogeneous Environment by King-Man Ho, Wing-Fai Poon, Kwok-Tung Lo

“…In order to find a near-optimal solution for such a complex video assignment problem, an evolutionary approach based on genetic algorithm (GA) is proposed. From the results, it is shown that the system performance can be significantly enhanced by efficiently coupling the various techniques.…”
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The Characteristics of Metaheuristic Method in Selection of Path Pairs on Multicriteria Ad Hoc Networks by Nyoman Gunantara, I Dewa Nyoman Nurweda Putra

“…This research analyzes the metaheuristic methods, that is, ant colony optimization (ACO), genetic algorithm (GA), and particle swarm optimization (PSO), in the selection of path pairs on multicriteria ad hoc network. …”
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Research on Wireless Sensor Network Coverage Path Optimization Based on Biogeography-Based Optimization Algorithm by Guojun Chen, Xiangdong Qin, Ningsheng Fang, Wenbo Xu

“…The experimental results show that the quality of the WSN coverage path solution optimized by the BBO algorithm in the two scenarios is better than that of the particle swarm algorithm and genetic algorithm.…”
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Research on Distribution and Inventory Cooperation of Agricultural Means Supply Chain by Yanxin Zhu, Jiajing Wang, Lixian Liu

“…By the features of the model, the biobjective genetic algorithm was improved based on elitism selection, aiming to improve the quality of noninferior solution in biobjective model. …”
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A Timetable Optimization Model for Urban Rail Transit with Express/Local Mode by Renjie Zhang, Shisong Yin, Mao Ye, Zhiqiang Yang, Shanglu He

“…In this study, a timetable optimization model is proposed by minimizing the total passenger waiting time at platforms. Further, a genetic algorithm is used to solve the minimization problems in the model. …”
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Optimization of Modified Yagi-Uda Nanoantenna Arrays Using Adaptive Fuzzy GAPSO by Pitther N. Santos, Victor Dmitriev, Karlo Q. da Costa

“…The optimization method used is the adaptive fuzzy GAPSO, which consists of hybridization between genetic algorithm (GA) and particle swarm optimization (PSO), with a fuzzy system employed to adapt the inertial weight ω and the acceleration coefficients C1 and C2 of PSO. …”
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Receiver Diversity Combining Using Evolutionary Algorithms in Rayleigh Fading Channel by Mohsen Akbari, Mohsen Riahi Manesh, Ayman A. El-Saleh, Ahmed Wasif Reza

“…In this paper, an imperialistic competitive algorithm (ICA) is proposed and compared with two other evolutionary based algorithms, namely, particle swarm optimization (PSO) and genetic algorithm (GA), for diversity combining of signals travelling across the imperfect channels. …”
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Planar ESPAR Array Design with Nonsymmetrical Pattern by Means of Finite-Element Method, Domain Decomposition, and Spherical Wave Expansion by Jesús García, Juan F. Izquierdo, Jesús Rubio, Miguel A. González, Juan Zapata

“…This procedure has been firstly validated by analyzing an array of monopoles on a ground plane, and then it has been applied to synthesize a prescribed radiation pattern optimizing the reactive loads connected to the feeding ports of the array of circular patches by means of a genetic algorithm.…”
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Iterative GA Optimization Scheme for Synthesis of Radiation Pattern of Linear Array Antenna by Sarayoot Todnatee, Chuwong Phongcharoenpanich

“…This research has proposed the iterative genetic algorithm (GA) optimization scheme to synthesize the radiation pattern of an aperiodic (nonuniform) linear array antenna. …”
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Research on Taxi Pricing Model and Optimization for Carpooling Detour Problem by Wei Zhang, Ruichun He, Yong Chen, Mingxia Gao, Changxi Ma

“…This paper builds a multiobjective optimization model for solving the taxi carpooling with detour problem and designs a genetic algorithm to determine a fair pricing scheme for riders and drivers. …”
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Designing a Multi-Objective Closed-loop Supply Chain Mathematical Model with Supplier Selection Approach and considering Discount by Esmat Saadi, kiamars fathi, Reza Radfar

“…The presented model generates Pareto solutions using two proposed meta-heuristic algorithms, multi objective particle swarm optimization and non-dominated sorting genetic algorithm and combination of the two. To compare the performance of the solution methods, five criteria are defined and the numerical results show the efficiency and quality of the proposed hybrid algorithm.…”
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Thermal Aeroelastic Tailoring for Laminated Panel with Lamination Parameters and JAYA Algorithm by Peng Jin, Qihao Zheng, Wei Wei

“…In the second-stage, instead of using conventional genetic algorithm, the enhanced JAYA method is extended to search the laminate configuration to target the optimal lamination parameters. …”
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