Improvement of Differential Privacy K-means Clustering Algorithm by GUO Rumin, CHEN Xuebin, SHAN Liyang

“…Comparative experiments on three different feature datasets are conducted to evaluate the improved algorithm. …”
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Corrigendum: Spatial-temporal evolution characteristics and driving factors of carbon emission prediction in China-research on ARIMA-BP neural network algorithm by Sanglin Zhao, Zhetong Li, Hao Deng, Xing You, Jiaang Tong, Bingkun Yuan, Zihao Zeng

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Economic Dispatch in Electrical Systems with Hybrid Generation Using the Differential Evolution Algorithm: A Comparative Analysis with Other Optimization Techniques Under Energy Limitation Scenarios by Jorge Cadena-Albuja, Carlos Barrera-Singaña, Hugo Arcos, Jorge Muñoz

“…Once the scenarios are established, the problem is formulated as a hydrothermal dispatch optimization, which is then tackled using heuristic and metaheuristic approaches, with a strong focus on the Differential Evolution algorithm.…”
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Nature-inspired adaptive differential evolution: A unified meta-heuristic framework for complex engineering optimisation and UAV path planning by Shijie Fan, Ruichen Wang, Yang Song, David Crosbee, Kang Su

Subjects: “…Nature-inspired adaptive differential evolution (NIADE)…”
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Coverage Optimization Technology of Power Pipe Gallery Based on Improved Gray Wolf Algorithm by Cheng ZHONG, Di ZHAI, Yang LU, Xiaobo LIU, Xinru WANG, Xiongwen ZHAO

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Estimating Daily Reference Crop Evapotranspiration in Northeast China Using Optimized Empirical Models Based on Heuristic Intelligence Algorithms by Zongyang Li, Zhengxin Zhao, Liwen Xing, Lu Zhao, Ningbo Cui, Huanjie Cai

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A multi-objective bilevel optimisation evolutionary algorithm with dual populations lower-level search by Weizhong Wang, Hai-Lin Liu, Hongjian Shi

“…To balance convergence and diversity, the selection operator of  a decomposition based multi-objective evolutionary algorithm is adopted. The proposed algorithm has been evaluated on a set of benchmark problems and a real-world optimisation problem. …”
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External archive guided radial-grid multi objective differential evolution by Vikas Palakonda, Samira Ghorbanpour, Jae-Mo Kang, Heechul Jung

“…Abstract Differential evolution (DE) is a robust evolutionary algorithm for solving single-objective and multi-objective optimization problems (MOPs). …”
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A Modified Differential Evolution for Source Localization Using RSS Measurements by Yunjie Tao, Lincan Li, Shengming Chang

“…While differential evolution (DE) has demonstrated notable efficacy in optimizing multimodal cost functions, conventional implementations often grapple with suboptimal convergence rates and susceptibility to local optima. …”
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An Innovative Hybrid Approach Producing Trial Solutions for Global Optimization by Vasileios Charilogis, Glykeria Kyrou, Ioannis G. Tsoulos, Anna Maria Gianni

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Optimization Performance and Efficiency Improvement of Microgrid Scheduling Model by Honggang JIA, Zhuding WANG, Yuanyuan YUE, Huan YAN, Na YAN, Qiangfei CAO

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Evaluation of the Geomorphon Approach for Extracting Troughs in Polygonal Patterned Ground Across Different Permafrost Environments by Amin Wen, Tonghua Wu, Xiaofan Zhu, Jie Chen, Jianzong Shi, Peiqing Lou, Dong Wang, Xin Ma, Xiaodong Wu

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Adaptive Quantum-Inspired Evolution for Denoising PCG Signals in Unseen Noise Conditions by Lubna Siddiqui, Ashish Mani, Jaspal Singh

“…This study investigates a novel Quantum-inspired Evolutionary Algorithm (QiEA) for denoising phonocardiogram signals using a fractional-order digital differentiator FIR filter (FODD). …”
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Application of Improved Electromagnetism-like Mechanism Algorithm on Massive Remote Sensing Image Screening by Yingjie Fang, Kun Liu, Xun Zhang, Gang Lin, Huibing Wang, Lina Dong, Su Li

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Multi-objective clustering: a kernel based approach using Differential Evolution by Subrat Kumar Nayak, Pravat Kumar Rout, Alok Kumar Jagadev

“…In this article, a multi-objective clustering algorithm has been proposed based on Differential Evolution. …”
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Differential Evolution-Based Transient Search Optimizer for Image Multi-Thresholding Problem by Nitin Mittal, Supreet Singh, Lalit Kumar, Gurpreet Kaur, Vikas Mittal, A. Johnson Santhosh

“…This research proposed a self-adaptive hybrid differential evolution (DE) based transient search optimizer (TSO) called DETSO. …”
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Asteroids Exploration Trajectory Optimal Design with Differential Evolution Based on Mixed Coding by Maocai Wang, Zhiming Song, Guangming Dai, Lei Peng, Chang Zheng

“…This paper proposes a novel method to design the optimal trajectory by differential evolution (DE) algorithm for asteroid exploration based on mixed coding. …”
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Impact of trucks registered in other provinces on ETC differentiated charging in provincial expressway network by YAN Shengyu, ZHAN Zhenyu, LI Yanhong, ZHANG Junyi

“…To evaluate the effect of policy on province-wide toll discount for electronic toll collection (ETC) trucks, and to clarify the influence of trucks registered in other provinces on the toll discount flowed back to the local enterprises, we use structured query language server (SQL Server) database technology to process the toll collection data on expressway network, and propose an algorithm of recovery rate for the explanatory variables of toll preference, and verify the feasibility of the algorithm is by a case study. …”
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A Multistrategy-Based Multiobjective Differential Evolution for Optimal Control in Chemical Processes by Bin Xu, Xu Chen, Xiuhui Huang, Lili Tao

“…To solve such problems, we put forward a multistrategy-based multiobjective differential evolution, in which (1) a hybrid selection strategy is incorporated from the motivation of no single strategy outperforming all other ones in every stage; (2) a multipopulation strategy is applied to represent the main population and current optimum, and a cyclic crowding estimation is developed to maintain these optimum; and (3) a multimutation strategy is constructed to improve both exploration and exploitation ability. …”
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A segmented differential evolution with enhanced diversity and semi-adaptive parameter control by Huarong Xu, Zhiyu Zhang, Qianwei Deng, Shengke Lin

“…Abstract Differential evolution (DE) is widely recognized as one of the most potent optimization algorithms, capable of effectively addressing a broad spectrum of optimization challenges. …”
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