Result aggregation algorithm based on differential evolution and Top-k ranking in learning Worker’s weight by Yuping XING, Yongzhao ZHAN

“…To solve the problem of quickly obtaining the optimal ranking result in the crowdsourcing result aggregation, an efficient and effective aggregation algorithm of Worker’s weight was proposed.The Worker’s weight optimization model based on differential evolution algorithm focused on the uncertainties and differences of Workers completing ranking tasks, the uncertainties and differences were reflected in the objective function and constraint conditions of the model.This model obtained the optimal weight of candidate results, and maximized the matching between Worker’s weight and result performance.Then, the optimization model solving method based on Top-k ranking was proposed to quickly obtain the optimal Worker’s weight with the appropriate k value for specific multi-data items ranking scenario.The optimization of Worker’s weight could realize optimized performance and speed of the result aggregation.The correctness of the algorithm is verified by qualitative analysis, the effectiveness and efficiency of the algorithm is verified by the simulation results, and the comparison with the relevant algorithms shows the optimal comprehensive performance of the algorithm.…”
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Metaheuristic Algorithms for Optimization: A Brief Review by Vinita Tomar, Mamta Bansal, Pooja Singh

“…This paper aims to provide a comprehensive review of these algorithms, including evolution-based methods, swarm intelligence-based, physics-based, human-related, and hybrid metaheuristics by highlighting their key components and concepts and comparing and contrasting their similarities and differences. …”
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Differential evolution-optimized gold nanorods for enhanced photothermal conversion by Aimad Koulali, Piotr Radomski, Paweł Ziółkowski, Francesca Petronella, Luciano De Sio, Dariusz Mikielewicz

“…Utilizing the Differential Evolution (DE) algorithm, a robust metaheuristic optimization approach, we calculated the optimal size and shape of AuNRs for selected wavelengths. …”
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Multi-Population Optimization Framework Based on Plant Evolutionary Strategy and Its Application to Engineering Design Problems by Hongwei Cheng, Jun Li, Xiaoming Zhang, Tingjuan Li, Panpan Zhang

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MODELING THE EVOLUTION OF WHIRL STRUCTURES IN A SUPERSONIC GAS STREAM by I. G. Lebo, A. I. Simakov

“…With the help of mathematical modeling methods we studied the evolution of whirl structures moving in a gas behind a shock wave front. …”
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A two stage differential evolution algorithm for parameter estimation of proton exchange membrane fuel cell by Mohammad Aljaidi, Sunilkumar P. Agrawal, Pradeep Jangir, Sundaram B. Pandya, Anil Parmar, Arpita, Ali Fayez Alkoradees, Bhargavi Indrajit Trivedi, Mohammad Khishe

“…In this paper, we present the two-stage differential evolution (TDE) algorithm, which fills these gaps by using a new mutation strategy that improves solution diversity and speeds up convergence. …”
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Improved Parallel Differential Evolution Algorithm with Small Population for Multi-Period Optimal Dispatch Problem of Microgrids by Tianle Li, Yifei Li, Fang Wang, Cheng Gong, Jingrui Zhang, Hao Ma

“…In the new approach, the main population of the parallel algorithm is divided into several small populations, and each performs the original operators of a differential evolution algorithm, i.e., mutation, crossover, and selection, in different processes concurrently. …”
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Optimal Design of Voltage Reference Circuit and Ring Oscillator Circuit Using Multiobjective Differential Evolution Algorithm by Sandeep K. Dash, Bishnu Prasad De, Pravin K. Samanta, Bhargav Appasani, Rajib Kar, Durbadal Mandal, Nicu Bizon

“…The optimization technique used here is the multiobjective differential evolution algorithm (MDEA). All the circuits are designed for 90 nm technology. …”
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A two phase differential evolution algorithm with perturbation and covariance matrix for PEMFC parameter estimation challenges by Mohammad Aljaidi, Pradeep Jangir, Arpita, Sunilkumar P. Agrawal, Sundaram B. Pandya, Anil Parmar, G. Gulothungan, Ali Fayez Alkoradees, Mohammad Khishe

“…In this study, a novel algorithm PCM-DE, based on the Differential Evolution framework, is proposed. …”
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Computer analysis shows differences between mitochondrial miRNAs and other miRNAs by P. S. Vorozheykin, I. I. Titov

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Predictive Control for an Ankle Rehabilitation Robot Using Differential Evolution Optimization Algorithm-Based Fuzzy NARX Model by Shenglong Xie, Haiming Zhong, Yuntang Li, Su'an Xu, Wenyuan Liu, Shiyuan Bian, Shiwu Zhang

“…Firstly, the T-S fuzzy NARX model is applied to characterize the forward and inverse hysteresis process of pneumatic muscle actuator (PMA) in this ankle rehabilitation robots and differential evolution optimization (DE) algorithm realize high precision parameters identification. …”
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Optimal placement of renewable distributed generators and electric vehicles using multi-population evolution whale optimization algorithm by Rinchen Zangmo, Suresh Kumar Sudabattula, Sachin Mishra, Nagaraju Dharavat, Naresh Kumar Golla, Naveen Kumar Sharma, Vinay Kumar Jadoun

“…It is discovered that the Multi-population Evolution Whale Optimization Algorithm (MEWOA) produces better results than other methods in the literature and is valuable and practical for handling these nonlinear optimisation situations.…”
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Hierarchical Online Air Combat Maneuver Decision Making and Control Based on Surrogate-Assisted Differential Evolution Algorithm by Mulai Tan, Haocheng Sun, Dali Ding, Huan Zhou, Tong Han, Yuequn Luo

“…The surrogate-assisted differential evolution algorithm is proposed on the basis of the original differential evolution algorithm, and the planning trajectory is obtained through the 5 degrees of freedom (DOF) model. …”
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Different sets of QTLs influence fitness variation in yeast by Gal Hagit Romano, Yonat Gurvich, Ofer Lavi, Igor Ulitsky, Ron Shamir, Martin Kupiec

“…The populations acquired different sets of affecting alleles, showing that evolution can provide alternative solutions to the same challenge. …”
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Differential bond energy algorithm for optimal vertical fragmentation of distributed databases by Shikha Mehta, Parul Agarwal, Prakhar Shrivastava, Jharna Barlawala

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Forecasting: Analyze Online and Offline Learning Mode with Machine Learning Algorithms by Farida Ardiani, Rodhiyah Mardhiyyah, Izaaz Azaam Syahalam, Nasmah Nur Amiroh

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A surrogate-assisted differential evolution algorithm with a dual-space-driven selection strategy for expensive optimization problems by Hanqing Liu, Zhigang Ren, Chenlong He, Wenhao Du

“…Abstract Surrogate-assisted evolutionary algorithms (SAEAs) have shown great potential to solve computationally expensive optimization problems (EOPs). …”
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Parameter Identification in Triple-Diode Photovoltaic Modules Using Hybrid Optimization Algorithms by Dhiaa Halboot Muhsen, Haider Tarish Haider, Yaarob Al-Nidawi

“…A new formula is presented to adapt the control parameters (mutation factor and crossover rate) of the DEA. Seven different experimental data sets are used to improve the performance of the proposed differential evolution with an integrated mutation per iteration algorithm (DEIMA). …”
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Customer segmentation in the digital marketing using a Q-learning based differential evolution algorithm integrated with K-means clustering. by Guanqun Wang

“…This paper proposes a customer segmentation framework within the realm of digital marketing, which integrates a reinforcement learning-based differential evolution algorithm with K-means clustering using dimensionality reduction techniques to address challenges in the customer segmentation process. …”
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Identification of Control Parameters Using Taguchi Method for Hybrid Real-Binary Differential Evolution Algorithm and Its Applications in Electromagnetic Optimization by Wenchao Du, Jianhui Wang, Ruidong Wang, Xingning Jia, Guoche Qin, Chunshu Li

“…The hybrid real-binary differential evolution (HDE) algorithm has been proficient in addressing electromagnetic optimization problems (EOPs) involving both real and binary variables. …”
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