Experimental Verification of Optimized Multiscroll Chaotic Oscillators Based on Irregular Saturated Functions by J. M. Muñoz-Pacheco, D. K. Guevara-Flores, O. G. Félix-Beltrán, E. Tlelo-Cuautle, J. E. Barradas-Guevara, C. K. Volos

“…Then, the positive Lyapunov exponent is optimized using the differential evolution algorithm to obtain chaotic attractors with 2 to 5 scrolls. …”
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Coevolution of Artificial Agents Using Evolutionary Computation in Bargaining Game by Sangwook Lee

“…We present three kinds of EC based agents (EC-agent) participating in the bargaining game: genetic algorithm (GA), particle swarm optimization (PSO), and differential evolution (DE). …”
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Robotic Tack Welding Path and Trajectory Optimization Using an LF-IWOA by Bingqi Jia, Haihong Pan, Lei Zhang, Yifan Yang, Huaxin Chen, Lin Chen

“…To overcome these challenges, a Lévy flight-enhanced improved whale optimization algorithm (LF-IWOA) was developed. The algorithm combines elite opposition-based learning (EOBL), differential evolution (DE), and Lévy flight (LF) to improve global exploration capability, increase population diversity, and improve convergence. …”
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Task Allocation and Saturation Attack Approach for Unmanned Underwater Vehicles by Qiangqiang Chen, Baisheng Liu, Changdong Yu, Mingkai Yang, Haonan Guo

“…In the task allocation link, the grey wolf optimizer is improved by introducing Logistic chaos mapping and differential evolution mechanism, which improves the search efficiency and allocation accuracy. …”
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Optimization of Hybrid Laminates with Extension-Shear Coupling by Da Cui, Daokui Li

“…The extension-shear-coupled effect of hybrid laminates is optimized with improved differential evolution algorithm. Results are presented for the hybrid laminates that consist of carbon fiber and glass fiber composite materials. …”
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Harmonic oscillator based particle swarm optimization. by Yury Chernyak, Ijaz Ahamed Mohammad, Nikolas Masnicak, Matej Pivoluska, Martin Plesch

“…We evaluated our method on a standard set of test functions and demonstrated that, in most cases, it outperforms its natural competitors, including the original PSO, as well as commonly used optimization methods such as COBYLA and Differential Evolution.…”
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Cooperative spectrum sensing scheme against SSDF attack based on ESD test in radio network by Lichun XIE, Chunqin ZHANG

“…Aiming at the problem that the cooperative spectrum sensing vulnerable to falsify data attacks in cognitive radio network, a cooperative spectrum sensing scheme with against SSDF attack based on test statistic and extreme studentized deviate test was proposed. Firstly, the differential evolution algorithm and weighted gain combining soft decision scheme were combined to form an efficient node decision fusion mechanism. …”
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基于改进Kriging模型的主动学习可靠性分析方法 by 陈哲, 杨旭锋, 程鑫

“…Active learning Kriging（ ALK） model is able to only approximate the performance function in a narrow region around the limit state surface.Therefore,the efficiency of reliability analysis is remarkably improved.However,most of the existing strategies build the ALK model based on a so-called DACE toolbox.DACE cannot obtain the global optimal parameter of a Kriging model and the training point chosen in each iteration cannot be the optimal one.In this paper,one famous global optimization,i.e.,the differential evolution algorithm is introduced to explore the optimal parameter of Kriging model and improve the accuracy of Kriging prediction information.As a result,the training point in each iteration is guaranteed to be the global optimal one and the efficiency of ALK model is largely improved.…”
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Kinematics Analysis of 3T1R 4-PRP_aU Parallel Mechanism by Shikun Wen, Linxian Che, Li Du, Guowang Chen

“…In accordance with the condition of rod length， the model of positional forward solution is established， then it is transformed into an unconstrained optimization problem and solved by differential evolution algorithm. The analytical expression of the inverse solution of mechanism position is derived and the correctness of the forward displacement of mechanism position is verified by using the inverse solution of mechanism position. …”
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Performance of pelican optimizer for energy losses minimization via optimal photovoltaic systems in distribution feeders. by Zuhair Alaas, Ghareeb Moustafa, Hany Mansour

“…Additionally, the model's findings indicate that the proposed PO version performs comparably to the Differential Evolution (DE), Particle Swarm Optimization (PSO), and Satin bowerbird optimizer (SBO) algorithms.…”
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Thinning and Weighting of Planar/Conformal Arrays Considering Mutual Coupling Effects by You-Feng Cheng, Wei Shao, Ran Zhang, Xiao Ding, Meng-Xia Yu

“…As an effective optimization algorithm, the differential evolution algorithm (DEA) is adopted in order to achieve low sidelobe. …”
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Recurrent Neural Network-Based Model Predictive Control for Multiple Unmanned Quadrotor Formation Flight by Boyang Zhang, Xiuxia Sun, Shuguang Liu, Xiongfeng Deng

“…Besides, the adaptive differential evolution (DE) algorithm is utilized to solve the optimization problem for MPC. …”
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Cross-Layer Scheduling and Resource Allocation for Heterogeneous Traffic in 3G LTE by Richard Musabe, Hadi Larijani

“…3G long term evolution (LTE) introduces stringent needs in order to provide different kinds of traffic with Quality of Service (QoS) characteristics. …”
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A Distributed Bio-Inspired Method for Multisite Grid Mapping by I. De Falco, A. Della Cioppa, U. Scafuri, E. Tarantino

“…In this paper an effective and efficient multisite mapping, based on a distributed Differential Evolution algorithm, is proposed. The aim is to minimize the time required to complete the execution of the application, selecting from among all the potential ones the solution which reduces the use of the grid resources. …”
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IHDETBO: A Novel Optimization Method of Multi-Batch Subtasks Parallel-Hybrid Execution Cloud Service Composition for Cloud Manufacturing by Li-Nan Zhu, Peng-Hang Li, Xiao-Long Zhou

“…To address the problem, a novel optimization method named as Improved Hybrid Differential Evolution and Teaching Based Optimization (IHDETBO) is proposed and introduced in detail. …”
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Three-Dimensional Drone Cell Placement: Drone Placement for Optimal Coverage by Aniket Basu, Hooman Oroojeni, Georgios Samakovitis, Mohammad Majid Al-Rifaie

“…The multi-drone-cell placement problem is solved using adapted Dispersive Flies Optimization alongside other meta-heuristic algorithms such as Particle Swarm Optimization and differential evolution. …”
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Combination treatment optimization using a pan-cancer pathway model. by Robin Schmucker, Gabriele Farina, James Faeder, Fabian Fröhlich, Ali Sinan Saglam, Tuomas Sandholm

“…In order to solve the treatment optimization problems, we combine the Covariance Matrix Adaptation Evolution Strategy (CMA-ES) algorithm with a significantly more scalable sampling scheme for truncated Gaussian distributions, based on a Hamiltonian Monte-Carlo method. …”
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Optimal Control of a Fed-Batch Fermentation Involving Multiple Feeds by Chongyang Liu, Zhaohua Gong, Zhaoyi Huo, Bangyu Shen

“…A solution approach is developed to seek the optimal feed rates based on control vector parametrization method and improved differential evolution algorithm. The proposed methodology yielded an increase by 32.17% of 1,3-PD concentration at the terminal time.…”
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Kinematics Analysis of a Parallel Mixing Machine and Its Scale Optimal Design by Chen Jing, Guo Qian, Zhu Wei

“…Taking the variation change of the attitude angles of the moving platform as the objective function, the differential evolution algorithm was used to optimize the scale parameters of the mechanism, and the obtained mechanism has better mixing motion performance than that before the optimization.…”
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A LithoScanner logging data processing method and application applicable to shale oil formation by Xuan Hu, Zhen Lin Wang, Jing Su, Wang Wang Yang, Xiao Xuan Chen, Peng Liu, Lei Zhao

“…First, rock matrix density is calculated using density and nuclear magnetic resonance (NMR) logging data, serving as the basis for depth normalization of core data; secondly, based on the oxide closure model, the offset and scaling factor are added to the calculation of the elemental dry weights, so as to obtain the optimal solution of the logged elemental dry weights; lastly, the elemental dry weights are combined with the differential evolution method, and the density profile and the sum of the mineral dry weights is used as the constraints, so as to carry out the inversion of the mineral dry weight is inverted.The results of mineral inversion have been well applied in different types of shale oil such as Daqing Gulong, Sichuan Liang Gaoshan, Xinjiang Mabei, etc. …”
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