Deep Learning-Based Step Size Determination for Hill Climbing Metaheuristics by Sándor Szénási, Gábor Légrádi, Gábor Kovács

“…This model was used in a novel alternating method (using traditional and Machine Learning-based steps) to predict the optimal step size for each iteration. This hybrid algorithm was compared to the already-known variants. …”
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Combining Parallel Stochastic Methods and Mixed Termination Rules in Optimization by Vasileios Charilogis, Ioannis G. Tsoulos, Anna Maria Gianni

“…By simultaneously combining multiple methods, such as evolutionary algorithms and swarm-based optimization, effective exploration of the search space and achievement of optimal solutions in shorter time frames are realized. …”
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CEEMDAN-IHO-SVM: A Machine Learning Research Model for Valve Leak Diagnosis by Ruixue Wang, Ning Zhao

“…Moreover, the performance of IHO was proven to be optimal compared to HO, Particle Swarm Optimization (PSO), Grey Wolf Optimization (GWO), Whale Optimization Algorithm (WOA), and Sparrow Search Algorithm (SSA) by calculating twelve test functions. …”
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Multi-Objective Optimization for Green BTS Site Selection in Telecommunication Networks Using NSGA-II and MOPSO by Salar Babaei, Mehran Khalaj, Mehdi Keramatpour, Ramin Enayati

“…However, the NSGAII algorithm performs better in terms of computational time for medium-sized problems compared to the MOPSO algorithm. …”
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Benchmarking Multiple Large Language Models for Automated Clinical Trial Data Extraction in Aging Research by Richard J. Young, Alice M. Matthews, Brach Poston

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Online Autonomous Motion Control of Communication-Relay UAV with Channel Prediction in Dynamic Urban Environments by Cancan Tao, Bowen Liu

“…The method mainly consists of two parts: wireless channel parameter estimation and optimal relay position search. Considering that in practical applications, the radio frequency (RF) channel parameters in complex urban environments are difficult to obtain in advance and are constantly changing, an estimation algorithm based on Gaussian process learning is proposed for online evaluation of the wireless channel parameters near the current position of the UAV; for the optimal relay position search problem, in order to improve the real-time performance of the method, a line search algorithm and a general gradient-based algorithm are proposed, which are used for point-to-point communication and multi-node communication scenarios, respectively, reducing the two-dimensional search to a one-dimensional search, and the stability proof and convergence conditions of the algorithm are given. …”
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Optimal Trajectory Planning for Wheeled Robots (OTPWR): A Globally and Dynamically Optimal Trajectory Planning Method for Wheeled Mobile Robots by Dingji Luo, Xuchao Huang, Yucan Huang, Mingda Miao, Xueshan Gao

“…This method leverages differential flatness to reduce dimensionality and decouple the problem, achieving globally optimal, collision-free paths in a two-dimensional flat output space through diagonal search and polynomial trajectory optimization. Comparative experiments in a simulated environment demonstrate that the proposed improved path search algorithm reduces search time by 46.6% and decreases the number of visited nodes by 43.1% compared to the original algorithm. …”
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Multiple UAV Swarms Collaborative Firefighting Strategy Considering Forest Fire Spread and Resource Constraints by Pei Zhu, Rui Song, Jiangao Zhang, Ziheng Xu, Yaqi Gou, Zhi Sun, Quan Shao

“…The comparative simulations for four search strategies indicate that the MUSAIDCS search strategy can significantly reduce task completion time and improve firefighting efficiency compared with the other traditional search strategies. …”
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Prediction of Students’ Performance Based on the Hybrid IDA-SVR Model by Huan Xu

“…The results show that the IDA algorithm can effectively avoid the local optima and the blindness search and can definitely improve the speed of convergence to the optimal solution.…”
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Dynamic programming in applied tasks which are allowing to reduce the options selection by D. A. Karpov, V. I. Struchenkov

“…The article discusses the dynamic programming algorithm developed by R. Bellman, based on the search for the optimal trajectory connecting the nodes of a predefined regular grid of states. …”
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Solving Permutation Flow Shop Scheduling Problem with Sequence-Independent Setup Time by Jabrane Belabid, Said Aqil, Karam Allali

“…In this contribution, we propose three methods of resolution, a mixed-integer linear programming (MILP) model; two heuristics, the first based on Johnson’s rule and the second based on the NEH algorithm; and finally two metaheuristics, the iterative local search algorithm and the iterated greedy algorithm. …”
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Quantum inspired elephant swarm intelligence for frequent item-sets mining by Hadjer Moulai

“…This paper introduces two novel quantum-inspired swarm intelligence approaches, namely Quantum-inspired Discrete Elephant Herding Optimization (QDEHO) and Quantum-inspired Discrete Elephant Water Search Algorithm (QDESWSA), for solving discrete optimization problems. …”
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Intelligent Joint Space Path Planning: Enhancing Motion Feasibility with Goal-Driven and Potential Field Strategies by Yuzhou Li, Yefeng Yang, Kang Liu, Chih-Yung Wen

“…Finally, sufficient numerical simulations and physical experiments are conducted in the joint space to verify the effectiveness and superiority of the proposed algorithm. Comparative results indicate that our proposed method achieves a faster search speed and a shorter path in complex planning scenarios.…”
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Comparison and general law research of multiple machine-learning models for proton exchange membrane electrolytic cell parameters prediction by Yukun Wang, Hai-Wen Li, Wenhan An, Yudong Mao, Kaimin Yang, Jiying Liu

“…The obtained results show that voltage, membrane thickness and inlet water temperature mainly affect three performance evaluation indicators. RF algorithm (an ensemble learning framework) and GA-BP (a model integrating global search and parallel computation mechanisms) are identified as the optimal prediction models, with determination coefficients of 0.995, 0.992, 0.992 and 0.996, 0.997, 0.993 for the three indicators, respectively. …”
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Improved Manta Ray Foraging Optimization for PID Control Parameter Tuning in Artillery Stabilization Systems by Xiuye Wang, Xiang Li, Qinqin Sun, Chenjun Xia, Ye-Hwa Chen

“…Comparative experiments using five benchmark test functions demonstrate that the IMRFO algorithm outperforms five commonly used heuristic algorithms in four cases. …”
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Adaptive Neural Network Sliding Mode Control for Quad Tilt Rotor Aircraft by Yanchao Yin, Hongwei Niu, Xiaobao Liu

“…A novel neural network sliding mode control based on multicommunity bidirectional drive collaborative search algorithm (M-CBDCS) is proposed to design a flight controller for performing the attitude tracking control of a quad tilt rotors aircraft (QTRA). …”
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OPERATIONAL ANALYSIS OF COMPLEX MEDICAL STATES BY PHOTONICS METHODS by A. I. Larkin, K. A. Trukhanov

“…A comparative analysis of photonic medical diagnostic systems running on a wide range of algorithms: search for precedent, correspondence diagnostics, deterministic diagnostics, Bayes algorithm. …”
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Research on collaborative scheduling strategies of multi-agent agricultural machinery groups by Ziyi Wang, Fan Zhang, Shiji Ma, Hailong Wang, Shunyao Zhang, Xiaozhong Gao

“…Subsequently, the network model is trained to improve its solution capabilities using the policy gradient algorithm (REINFORCE). Finally, the solution is optimized through a local search strategy. …”
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Corrosion rate prediction for long-distance submarine pipelines based on MWIWOA-SVM by Zhengshan LUO, Haipeng LYU, Jihao LUO

“…The extended search mode was refined by integrating the simplex method, while the optimization capability of the Whale Optimization Algorithm (WOA) was enhanced with Levy flight to improve step length. …”
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Research on Stacking Distribution of Steel Plates Input Based on Improved Multi-objective Particle Swarm Optimization by ZHONG Chuanjie, CHENG Wenming, DU Run, GAO Xuchao, ZHANG Lin

“…The evaluation indices solved by the improved algorithm were optimized to varying degrees. Finally, the stacking situations before and after optimization were compared. …”
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