Optimal Scheduling Method for Power Generation of Cascade Reservoirs Based on RLDE Algorithm by CHEN Jia-wen, ZHU Xin, TANG Zheng-yang, SHEN Ke-yan, CHEN Xiao-lin, QIN Hui

“…Moreover, the average standard deviation of the proposed algorithm after multiple runs was reduced by an average of 729 million kW·h compared with the traditional DE algorithm, and by 844 million kW·h compared with the adaptive genetic algorithm. …”
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Structural Parameter Identification Using Multi-Objective Modified Directional Bat Algorithm by LIU Li-jun, LIN Ying-hai, SU Yong-hui, LEI Ying

“…Compared to Multi-Objective Particle Swarm Optimization （MOPSO） and the Non-Dominated Sorting Genetic Algorithm-II （NSGA-II）， MOMDBA outperformed its counterpart. …”
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Optimal power flow using recent red-tailed hawk optimization algorithm by Ahmed M Nassef, Mohammad Ali Abdelkareem, Mohamed Louzazni

“…In addition, the results obtained from the suggested approach have been compared to those achieved by other modern and competitive metaheuristic optimization algorithms, such as particle swarm optimization (PSO), Coot bird's algorithm (COOT), salp swarm algorithm (SSA), Marin predator algorithm (MPA), and the jellyfish search optimizer (JSO). …”
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The Method for Calculating the Contact Ｒesistance Used Fuzzy System Optimized by Ｒecursive Least Square by WANG Gang, WANG Zhi-jun, ZHAO Li-li, LIU Ya-pei, WANG Xu, HAO Xiang-yu

“…Using training data，fuzzy system is trained，the model of contact resistance is set up，and training algorithm is recursive least square combined tabu search. …”
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Research progress in globular fruit picking recognition algorithm based on deep learning by LI Hui, ZHANG Jun, YU Shuochen, LI Zhixin

“…Compared with traditional fruit detection algorithms, the fruit detection algorithm based on deep learning can extract and learn rich features from a large amount of data, and has higher accuracy and robustness when processing noisy data. …”
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An improved bistable stochastic resonance method and its application in early bearing fault diagnosis by Yonghui Zhao, Anqi Jiang, Wanlu Jiang, Enyu Tang, Xu Jiang, Xiaoyang Gu

“…Additionally, the cuckoo search (CS) algorithm is used to optimize the potential function parameters, enhancing fault diagnosis performance. …”
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Research on Grounding Grid Corrosion Diagnosis Based on Genetic K‐Means Algorithm by Longsheng Huang, Xianghui Xiao, Mingxian Huang, Zhenshan Zhang, Yunhao Song, Luchang Guan

“…This algorithm combines GA's global searching ability and K‐means's local searching ability, which improves the diagnosis result. …”
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Nature-Inspired Approach: A Novel Rat Optimization Algorithm for Global Optimization by Pianpian Yan, Jinzhong Zhang, Tan Zhang

“…This work presents a rat optimization algorithm (ROA), which simulates the social behavior of rats and is a new nature-inspired optimization technique. …”
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Parameters Identification for Photovoltaic Module Based on an Improved Artificial Fish Swarm Algorithm by Wei Han, Hong-Hua Wang, Ling Chen

“…In addition to the regular operation, a mutation operator (MO) is designed to enhance the searching performance of the algorithm. The feasibility of the proposed method is demonstrated by various parameters of PV module under different environmental conditions, and the testing results are compared with other studied methods in terms of final solutions and computational time. …”
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A Mobile Agent Routing Algorithm in Dual-Channel Wireless Sensor Network by Kui Liu, Sanyang Liu, Hailin Feng

“…Simultaneously, this algorithm can keep the ant agents away from the nodes with less residual energy in searching for the optimal route. …”
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Determination of the Cascade Reservoir Operation for Optimal Firm-Energy Using Genetic Algorithms by Azmeri -, Iwan K, Hadihardaja -, Sri Legowo

“…Then, the result obtained by using the energy produced by GA is compared to the conventional searching technique of Non-Linier Programming (NLP). …”
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GAAOA-Lévy: a hybrid metaheuristic for optimized multilevel thresholding in image segmentation by Eman Mahmoud, Salem Alkhalaf, Tomonobu Senjyu, Masahiro Furukakoi, Ashraf Hemeida, Ghada Abozaid

“…The proposed algorithm is evaluated using standard benchmark images and compared against well-known optimization techniques. …”
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A novel economic load dispatch method of microgrid based on hybrid slime mould and genetic algorithm by Wei Ba, Wei Sun, Chunjiang Zhao, Qi Li

“…The velocity matrix is introduced to adjust the direction and speed of the individual movement to enhance the searching ability in GSMA. For performance evaluation, GSMA is compared with slime mould algorithm (SMA), grey wolf optimizer (GWO), sparrow search algorithm (SSA), Harris Hawks optimization (HHO), whale optimization algorithm (WOA) and particle swarm optimization (PSO) using standard optimization functions. …”
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Hybrid self-inertia weight adaptive particle swarm optimisation with local search using C4.5 decision tree classifier for feature selection problems by Arfan Ali Nagra, Fei Han, Qing Hua Ling, Muhammad Abubaker, Farooq Ahmad, Sumet Mehta, Abeo Timothy Apasiba

“…A number of methodologies have been presented for feature selection problems using metaheuristic algorithms. In this paper, an improved self-adaptive inertia weight particle swarm optimisation with local search and combined with C4.5 classifiers for feature selection algorithm is proposed. …”
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Predicting Soft Soil Settlement with a FAGSO-BP Neural Network Model by Binhui Ma, Yarui Xiao, Tian Lan, Chao Zhang, Zengliang Wang, Zeshi Xiang, Yuqi Li, Zijing Zhao

“…Aiming at the problem that it is difficult to consider the prediction of foundation settlement in the case of multi-parameter coupling effect by theoretical formulas and numerical analysis, the fireworks algorithm with gravitational search operator (FAGSO) is introduced into the BP neural network model, and the FAGSO algorithm aims to enhance the neural network’s weight and threshold adjustment process; so, a new soft ground settlement prediction model was developed which uses a fireworks algorithm integrated with a gravitational search operator to optimize a BP neural network (referred to as FAGSO-BP). …”
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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

“…A comparative simulation analysis is made of various coverage optimization methods, and the results show that the proposed algorithm has robust search capabilities and it can significantly improve the network coverage performance in the narrow underground power pipe galleries, while effectively satisfying the communication needs of the monitored nodes.…”
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<italic>UAV-NavS</italic>: Three-Dimensional Navigation System of Multiple Unmanned Aerial Vehicles Using Hybrid Optimization Algorithm by Monia Digra, Upma Jain, Ram Kishan Dewangan, Himanshu Suyal

“…The efficiency of the proposed hybrid approach is compared with other meta-heuristic algorithms for multi-UAV navigation. …”
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Heuristic Algorithms for The Problem of Integer Balancing of a Three-dimensional Matrix with Constraints of Second Type by A. V. Smirnov

“…Also, the complexity of all three algorithms is estimated in the article. The comparative analysis of matrix algorithms based on the results of computing experiments is adduced.…”
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Improving long short-term memory (LSTM) networks for arbitrage spread forecasting: integrating cuckoo and zebra algorithms in chaotic mapping space for enhanced accuracy by Mingfu Zhu, Yaxing Liu, Panke Qin, Yongjie Ding, Zhongqi Cai, Zhenlun Gao, Bo Ye, Haoran Qi, Shenjie Cheng, Zeliang Zeng

“…This method replaces the Lévy flight in the Cuckoo algorithm with the Zebra algorithm search, improving convergence speed and solution optimization. …”
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A Memetic Differential Evolution Algorithm Based on Dynamic Preference for Constrained Optimization Problems by Ning Dong, Yuping Wang

“…In the memetic algorithm, the global search, which uses differential evolution (DE) as the search scheme, is guided by a novel fitness function based on achievement scalarizing function (ASF). …”
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