A Novel Hybrid Improved RIME Algorithm for Global Optimization Problems by Wuke Li, Xiong Yang, Yuchen Yin, Qian Wang

“…The RIME algorithm is a novel physical-based meta-heuristic algorithm with a strong ability to solve global optimization problems and address challenges in engineering applications. …”
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Flexible Bus Route Optimization Scheduling Model by Ji-yang Sun, Yan-yan Chen, Jian-ling Huang, Pan-yi Wei, Cheng-cheng Song

“…This model uses the heuristic algorithm based on gravity model to determine the following: passenger booking; vehicle passenger capacity; team known conditions such as size, according to the dynamic changes of passenger demand for real-time iterative update shuttle travel time; vehicle operating costs (vehicle); and time cost for passengers (passengers waiting time for the vehicle, actual time of arrival, and the difference between expected and actual times of arrival) before minimization as the target. …”
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Optimal Topology Management for Software-Defined Networks Minimizing Latency and Using Network Slicing by Andrés Viveros, Pablo Adasme, Ali Dehghan Firoozabadi

“…Finally, they are compared with a proposed local search math-heuristic algorithm. The proposed models and algorithm are solved with the CPLEX solver with default options. …”
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Offshore Wind Farm Layout Optimization Considering the Power Collection System Cost by S. G. Obukhov, D. Y. Davydov

“…To solve this problem, a heuristic algorithm was used to search for a minimum spanning tree with a restriction on the conductivity of connections, which made it possible to build realistic schemes and more adequately assess their technical and economic characteristics. …”
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Discrete Train Speed Profile Optimization for Urban Rail Transit: A Data-Driven Model and Integrated Algorithms Based on Machine Learning by Kang Huang, Jianjun Wu, Xin Yang, Ziyou Gao, Feng Liu, Yuting Zhu

“…To fill this gap, according to the actual speed and energy data collected from the real-world urban rail system, this paper proposes a data-driven model and integrated heuristic algorithm based on machine learning to determine the optimal speed profile with minimum energy consumption. …”
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Resource allocation for multi-cell full-duplex wireless powered communication networks by Muhammad Shahid Iqbal, Yalcin Sadi, Syed Adil Abbas Kazmi, Sinem Coleri

“…Following the optimum analysis of the proposed penalty metric, we present a heuristic algorithm that tries to minimize the sum penalties of the simultaneously transmitting users over the schedule. …”
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A Novel Optimization Method Using the Box–Behnken Design Integrated with a Back Propagation Neural Network–Genetic Algorithm for Hydrogen Purification by Nannan Zhang, Sumeng Hu, Qianqian Xin

“…To explore a better optimization solution, a novel optimization method using machine learning with a back propagation neural network (BPNN) was then proposed, and a kind of heuristic algorithm–genetic algorithm (GA) was introduced to enhance the architecture of the BPNN. …”
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A Novel Intensive Distribution Logistics Network Design and Profit Allocation Problem considering Sharing Economy by Mi Gan, Shuai Yang, Dandan Li, Mingfei Wang, Si Chen, Ronghui Xie, Jiyang Liu

“…Analyzing customer shopping behavior by the big data technology to determine customer’s logistics preference on the basis of dividing the customer’s logistics preference into high speed, low cost, and low pollution and then constructing the corresponding objective function model according to different logistics preferences, we obtain the intensive distribution logistics network model and solve it with heuristic algorithm. Furthermore, this paper analyzes the mechanism of interest distribution of the participants in the distribution network and puts forward an improved interval Shapley value method considering both satisfaction and contribution, with case verifying the feasibility and effectiveness of the model. …”
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Penerapan Metode K-Means Berbasis Jarak untuk Deteksi Kendaraan Bergerak by Yuslena Sari, Andreyan Rizky Baskara, Puguh Budi Prakoso

“…In general, K-Means is a heuristic algorithm that partitioned the data set into K clusters by minimizing the number of squared distances in each cluster. …”
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Characterization and Selection of WiFi Channel State Information Features for Human Activity Detection in a Smart Public Transportation System by Roya Alizadeh, Yvon Savaria, Chahe Nerguizian

“…Since the environment of a transportation system changes dynamically and non-deterministically, we propose analyzing these changes with a heuristic algorithm that leverages a decision tree to automate a decision-making solution for feature selection. …”
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Minimizing Power Consumption and Interference Mitigation of Downlink NOMA HetNets by IRS-Supported Aerial Base Stations by Osamah Thamer Hassan Alzubaidi, Mhd Nour Hindia, Kaharudin Dimyati, Kamarul Ariffin Noordin, Faizan Qamar, Atef Abdrabou

“…To tackle this problem, a meta-heuristic algorithm based on the modified gray wolf optimization (MGWO) and an alternation max/min technique based on the developed Block Coordinate Descent (DBCD) are proposed. …”
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Anti-ransomware method based on active deception by CHEN Kai, MA Duohe, TANG Zhimin, DAI Jun

“…By combining static heuristic algorithms and dynamic heuristic algorithms to dynamically deploy deceptive files, a dynamic file security model based on active deception was established. …”
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Graph Pointer Network Based Hierarchical Curriculum Reinforcement Learning Method Solving Shuttle Tankers Scheduling Problem by Xiaoyong Gao, Yixu Yang, Diao Peng, Shanghe Li, Chaodong Tan, Feifei Li, Tao Chen

“…Comparison experiments demonstrate that the proposed HCRL method achieves 12% shorter tour lengths on average compared to heuristic algorithms. Additional experiments validate its generalizability to unseen instances and scalability to larger instances.…”
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Efficiency Improvements of Antenna Optimization Using Orthogonal Fractional Experiments by Yen-Sheng Chen, Ting-Yu Ku

“…Traditionally, antenna optimization relies on nature-inspired heuristic algorithms, which are time-consuming due to their blind-search nature. …”
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Optimizing Solar Radiation Prediction Based on The Internet of Things Platform in Photovoltaic Power Plant by Neda Ashrafi Khozani, Maryam Mahmoudi, Shabnam Nasr Esfahani

“…Meta-heuristic algorithms are utilized for optimizing tree-based methods, as well as for feature and instance selection. …”
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An Efficient Algorithm to Find Broadcast Schedule in Ad Hoc TDMA Networks by Imtiaz Ahmad, Buthaina Al-Kazemi, A. Shoba Das

“…The problem is widely known as NP-complete, and diverse heuristic algorithms were reported to solve this problem recently. …”
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Optimizing Competency-Based Human Resource Allocation in Construction Project Scheduling: A Multi-Objective Meta-Heuristic Approach by Bahman Shojaei, Heidar Dashti Naserabadi, Mohammad Javad Taheri Amiri

“…The results demonstrate that both meta-heuristic algorithms effectively address the competency-based allocation challenge, with NSGA-II showing superior performance in achieving optimal solutions. …”
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Predict the Maximum Dry Density of Soil Based on Individual and Hybrid Methods of Machine Learning by Ghanshyam Tejani, Behnam Sadaghat, Sumit Kumar

“…To ensure the model's accuracy, the study integrates two meta-heuristic algorithms: Artificial Rabbits Optimization (ARO) and Gradient-based Optimizer (GBO). …”
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Energy efficient optimal sink position selection algorithm for wireless sensor networks by TANG Wei, GUO Wei

“…The selection of sink position and the routing optimization for energy efficiency were combined,and the shortest path tree（SPT） tessellation was defined.The structure of the SPT tessellation cells in 2-dimension space was analyzed,and a method to search neighboring cells was presented.Three heuristic algorithms were also designed.Simu-lation experiments are conducted to analyze and compare the performance of the proposed algorithms,and the results show that the performance of the algorithms is close to or able to converge to the global optimality.…”
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Group Scheduling with Learning Effect and Random Processing Time by Dingyu Wang, Chunming Ye

“…At the same time, heuristic algorithms and examples are given.…”
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