Construction cost prediction model for agricultural water conservancy engineering based on BIM and neural network by Kun Han, Tieliang Wang, Wenhe Liu, Chunsheng Li, Xiaochen Xian, Yingying Yang

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Research on time-varying path optimization for multi-vehicle type fresh food logistics distribution considering energy consumption by Hao Chen, Wenxian Wang, Li Jia, Haiming Wang

“…Given the NP-hard nature of the problem, a hybrid Tabu Search (TS) and Genetic Algorithm (GA) approach is designed to compute an optimal solution. …”
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Optimal Driving Torque Control Strategy for Front and Rear Independently Driven Electric Vehicles Based on Online Real-Time Model Predictive Control by Hang Yin, Chao Ma, Haifeng Wang, Zhihao Sun, Kun Yang

“…To enable online real-time implementation, an improved sparrow search algorithm (SSA) is designed. Simulations in MATLAB/Simulink confirm that the proposed online strategy reduces energy consumption by 2.3% under the China light-duty vehicle test cycle-passenger cars (CLTC-P) compared to a rule-based strategy. …”
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ResNet-Driven Joint Decision-Making for VVC Optimization via Gradient Search by Fangmei Liu, Jiyuan Wang, Qiuwen Zhang

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A metaheuristic optimization framework inspired by virus mutations and its ability to optimize the structural design of 2D and 3D steel frames compared to other methods by Mehdi Ghasri, Hamid Reza Karimi, Abdolhamid Salarnia

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Deep Q-Learning Enhanced Variable Neighborhood Search for Influence Maximization in Social Networks by Afifeh Maleki Ghalghachi, Mehdy Roayaei

“…The results of implementation on different real-world social networks of varying sizes demonstrate the superiority of this algorithm compared to existing metaheuristic, IM-specific algorithms, and network-specific measures.…”
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Towards Supporting Exploratory Search over the Arabic Web Content: The Case of ArabXplore by Al-Agha Iyad, Abed Ahmed

“…The underlying ranking algorithm was also compared with the conventional PageRank.…”
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Salp Swarm Algorithm Optimized A* Algorithm and Improved B-Spline Interpolation in Path Planning by Hang Zhou, Tianning Shang, Yongchuan Wang, Long Zuo

“…The simulation experimental results demonstrate that this modification reduces the number of searched nodes by more than 78.2% and decreases planning time by over 48.1% compared to traditional A* algorithms. …”
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Personalized Influential Community Search in Large Networks: A K-ECC-Based Model by Shi Meng, Hao Yang, Xijuan Liu, Zhenyue Chen, Jingwen Xuan, Yanping Wu

“…Graphs have been widely used to model the complex relationships among entities. Community search is a fundamental problem in graph analysis. …”
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Eight-Figure Pattern for Enhancing the Searching Process of Grey Wolf Optimization (Eight-GWO) by Lec. Ali Hakem Alsaeedi, Suha Muhammed Hadi, Yarub Alazzawi, Emad Badry Badry

“…The proposed model combines two phases: regular search when searching progresses over time while the second phase, searching by eight patterns when the algorithm reaches stuck. …”
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A Graph-Induced Neighborhood Search Heuristic for the Capacitated Multicommodity Network Design Problem by Houshan Zhang

“…Furthermore, we have developed a novel resource-efficient facility assignment technique that departs from standard variable neighborhood search algorithms. By solving a series of small knapsack problems, this technique not only enhances the quality of solutions further but also can serve as a primary heuristic to generate initial feasible solutions. …”
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Clutaxis: An information-driven source search method balancing exploration and exploitation in turbulent environments by Runkang Guo, Yong Zhao, Yatai Ji, Mengyu Yan, Zhengqiu Zhu

“…Through dedicated simulations, the experimental results demonstrate the robustness of Clutaxis to key parameters and its advantages in computational complexity and search performance compared to two state-of-the-art algorithms (Infotaxis and Entrotaxis) and two Clutaxis variants (Clutaxis_ER and Clutaxis_EI).…”
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Region search based on hybrid convolutional neural network in optical remote sensing images by Shoulin Yin, Ye Zhang, Shahid Karim

“…At the end, in order to improve the region search precision, we use an iterative bounding box regression algorithm to normalize the detected bounding boxes, in which the regions contain candidate objects. …”
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Cuckoo search based optimal mask generation for noise suppression and enhancement of speech signal by Anil Garg, O.P. Sahu

“…Subsequently, the optimal mask for each class is generated based on Cuckoo search algorithm. Subsequently, in the waveform synthesis stage, filtered waveforms are windowed and then multiplied by the optimal mask value and summed up to get the enhanced target signal. …”
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A Physarum-Inspired Decision-Making Strategy for Multisource Task Searching of Mobile Robots by Laihao Jiang, Hongwei Mo, Lifang Xu

“…However, for a single robot, the multisource search has been receiving relatively little attention compared to single-source search. …”
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Adaptive Large Neighborhood Search Metaheuristic for the Capacitated Vehicle Routing Problem with Parcel Lockers by Amira Saker, Amr Eltawil, Islam Ali

“…The problem is resolved by ALNS algorithm, which outperformed the MIP model.…”
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Load forecasting of microgrid based on an adaptive cuckoo search optimization improved neural network by Liping Fan, Pengju Yang

“…Finally, the weights and biases of the forecasting model were optimized by the improved cuckoo search algorithm. The results showed that the BP network optimized by the improved cuckoo search optimization enhanced the global search ability, avoided the local optima, quickened the convergence speed, and presented excellent performance in load forecasting. …”
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A Hierarchical Evolutionary Search Framework with Manifold Learning for Powertrain Optimization of Flying Vehicles by Chenghao Lyu, Nuo Lei, Chaoyi Chen, Hao Zhang

“…This framework employs lightweight manifold dimensionality reduction to compress the decision space, enabling Bayesian optimization (BO) on low-dimensional manifolds for a global coarse search. Subsequently, the approximate Pareto solutions generated by BO are utilized as initial populations for a non-dominated sorting genetic algorithm III (NSGA-III), which performs fine-grained refinement in the original high-dimensional design space. …”
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Search for gamma-ray spectral lines from dark-matter annihilation with the DAMPE satellite by Frieden Jennifer Maria

“…To improve the event selection, two machine-learning algorithms were developed and proved to outperform all the standard methods. …”
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PSO-Based Support Vector Machine with Cuckoo Search Technique for Clinical Disease Diagnoses by Xiaoyong Liu, Hui Fu

“…Therefore, we can conclude that our proposed method is very efficient compared to the previously reported algorithms.…”
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