Optimization of IC Separation Based on Isocratic-to-Gradient Retention Modeling in Combination with Sequential Searching or Evolutionary Algorithm by Šime Ukić, Marko Rogošić, Mirjana Novak, Ena Šimović, Vesna Tišler, Tomislav Bolanča

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Determining Optimal Link Capacity Expansions in Road Networks Using Cuckoo Search Algorithm with Lévy Flights by Ozgur Baskan

“…In this paper, cuckoo search (CS) algorithm with Lévy flights is introduced for finding optimal link capacity expansions because of its recent successful applications in solving such complex problems. …”
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AGV Scheduling and Energy Consumption Optimization in Automated Container Terminals Based on Variable Neighborhood Search Algorithm by Ning Zhao, Rongao Li, Xiaoming Yang

“…Finally, the influence of the number and speed of AGVs on the total energy consumption is discussed, and the optimization performance of the variable neighborhood search algorithm and genetic algorithm is compared through computational experiments. …”
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Research on the construction of English vocabulary learning recommendation system based on multi-objective crow search algorithm by Mengli Li

“…As the algorithm iterates, we gradually increase the search radius to explore a broader solution space. …”
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Submarine Cable Vibration Signal Recognition Based on Sparrow Search Algorithm Optimized Support Vector Machine by GUO Jiaxing, QIAN Junxia, LIU Rui, MA Hongjuan

“…In order to improve the speed and accuracy of this practice, this paper proposes a submarine cable vibration signal recognition method based on the sparrow search algorithm (SSA) optimized support vector machine (SSA-SVM). …”
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Mcaaco: a multi-objective strategy heuristic search algorithm for solving capacitated vehicle routing problems by Yanling Chen, Jingyi Wei, Tao Luo, Jie Zhou

“…Additionally, an adaptive parameter adjustment strategy is designed to balance global search and local exploitation capabilities. Through a series of experiments, it is demonstrated that compared to multi-objective particle swarm optimization (MOPSO), non-dominated sorting genetic algorithm II (NSGA-II), and multi-objective sparrow search algorithm (MOSSA), the proposed MCAACO significantly reduces travel paths by an average of 3.05% and increases vehicle service coverage by an average of 3.2%, while satisfying vehicle capacity constraints. …”
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Large-Space Laser Tracking Attitude Combination Measurement Using Backpropagation Algorithm Based on Neighborhood Search by Ziyue Zhao, Zhi Xiong, Zhengnan Guo, Hao Zhang, Xiangyu Li, Zhongsheng Zhai, Weihu Zhou

“…In this paper, taking laser tracking equipment as the base station, a backpropagation algorithm based on neighborhood search is proposed, which is applied to the fusion of multi-source information for solving the dynamic attitude angle. …”
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A Novel Traffic Scheduling Algorithm for Multi-CQF Using Mixed Integer Programming and Variable Neighborhood Search Genetic Algorithm in Time-Sensitive Networking by Cheng Wang, Zhiquan Lin, Yuhao Zhao, Fen Hu, Zhan Huan

“…Subsequently, Mixed Integer Programming (MIP) and the Variable Neighborhood Search Genetic Algorithm (VNS-GA) are employed to optimize transmission delay in small- and large-traffic TSN networks, respectively. …”
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APOTHEOSIS: An efficient approximate similarity search system by Daniel Huici, Ricardo J. Rodríguez, Eduardo Mena

“…Specifically, it uses a custom hierarchical small navigation world as an approximate K-nearest neighbors search method, and approximate similarity digests algorithms to find common features between similar data items, also supporting various distance metrics beyond vector-based approaches. …”
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Genetic search method for design calculation of dimensional chains by V. V. Frolov

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Impossible differential distinguisher analysis of GRANULE and MANTRA algorithm by Xiaonian WU, Yingxin LI, Yongzhuang WEI, Yaping SUN

“…The lightweight block cipher algorithms called GRANULE and MANTRA have a simple structure,fast encryption speed,and they can be easy implemented in software and hardware.Two algorithms are especially suitable for resource-constrained environments.To analyze the security of two algorithms,an automatic search method of impossible differential distinguishers was proposed.Based on the structural characteristics of the GRANALE and MANTRA,the S-box differential characteristics were obtained by analyzing the S-box differential distribution table,and then the idea of intermediate encounter was used to traverse from the difference path obtained from the encryption/decryption direction seperately to select the optimal differential path with probability 0.The analysis results show that there are 144 different 7-round impossible differential distinguishers in the GRANULE,and 52 different 9-round impossible differential distinguishers in the MANTRA.Compared with the existing results,the rounds of the proposed distinguisher is currently the highest.…”
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Multi-Strategy-Improvement-Based Slime Mould Algorithm by Donghai Huang, Tianbing Tang, Yi Yan

“…Additionally, a novel balancing factor, B, has been introduced to ensure a more equitable distribution of the algorithm’s exploration and exploitation. The enhanced Lévy flight strategy and the elite tangent search strategy have been integrated to further enhance the algorithm’s global search capability and optimization finding ability. …”
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SBOA: A Novel Heuristic Optimization Algorithm by Qi Diao, Apri Junaidi, WengHowe Chan, Azland Mohd Zain Zain, Hao long Yang

“…Seven comparative algorithms were utilized: the Differential Evolution Algorithm (DE), Sparrow Search Algorithm (SSA), Sine Cosine Algorithm (SCA), Whale Optimization Algorithm (WOA), Butterfly Optimization Algorithm (BOA), Lion Swarm Optimization (LSO), and Golden Jackal Optimization (GJO). …”
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A cluster based routing for maximizing the lifetime of underwater wireless sensor network using gravitational search algorithm by Shyamsundar R, Harshavarthan M, Shankar Thangavelu

“…This paper focuses on the clustering-based routing of the devices using the Gravitational Search Algorithm. The proposed algorithm works in four phases: exploration phase, clustering phase, routing phase, and transmission phase. …”
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A new binary grasshopper optimization algorithm for feature selection problem by Haouassi Hichem, Merah Elkamel, Mehdaoui Rafik, Maarouk Toufik Mesaaoud, Chouhal Ouahiba

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Intelligent HEED algorithm for energy optimization in heterogeneous wireless sensor network by Ayobami O. Adedokun, Folasade M. Dahunsi

“…This study introduces I-HEED (Intelligent Hybrid Energy-Efficient Distributed) clustering, a novel energy optimization algorithm that merges the energy-efficient HEED (Hybrid Energy-Efficient Distributed) protocol with the Monkey Search Algorithm. …”
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Path planning in radioactive environment of nuclear facilities based on modified A-star algorithm and search neighborhood optimization by Biao Zhang, Xingfu Cai, Guoqiang Li, Xiaomeng Li, Minjun Peng, Haowei Wang

“…The results show that the cumulative dose of the modified algorithm is comparable to the traditional A-star algorithm, but the average execution point is reduced by 53.06 % and the computation time is shortened by 24.23 %. …”
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Path Tracking Control of Agricultural Automatic Navigation Vehicles Based on an Improved Sparrow Search-Pure Pursuit Algorithm by Junhao Wen, Liwen Yao, Jiawei Zhou, Zidong Yang, Lijun Xu, Lijian Yao

“…A pure pursuit method based on an improved sparrow search algorithm is proposed to address low path-tracking accuracy of intelligent agricultural machinery in complex farmland environments. …”
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Optimized load frequency controller for microgrid with renewables and EVs based recent multi-objective mantis search algorithm by Osama Elbaksawi, Rovan Fathy, Ahmed Ali Daoud, R.A. Abd El-aal

“…Furthermore, this article proposes a new practical implementation of the recently proposed multi-objective mantis search algorithm (MOMSA) for simultaneously calculating the optimal controller coefficients. …”
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Pipeline corrosion rate prediction model using BP neural network based on improved sparrow search algorithm by Shuhui XIAO, Chuanjia DU, Chengjun WANG

“…Additionally, a hybrid sine-cosine algorithm was introduced to update the location of discoverers, and a Levy flight strategy was incorporated to update the location of followers within the Sparrow Search Algorithm. …”
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