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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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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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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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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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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Single-Machine Scheduling to Minimize Total Completion Time and Tardiness with Two Competing Agents by Wen-Chiung Lee, Yau-Ren Shiau, Yu-Hsiang Chung, Lawson Ding

“…A branch-and-bound algorithm is developed to derive the optimal sequence and two simulated annealing heuristic algorithms are proposed to search for the near-optimal solutions. …”
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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. Results obtained through simulation ensure the validity of the proposed approach.…”
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Integrated Berth Allocation and Time-Variant Quay Crane Scheduling with Tidal Impact in Approach Channel by Xiaogang Jiao, Feifeng Zheng, Ming Liu, Yinfeng Xu

“…An integer linear programming model is developed, and then three heuristic algorithms, Genetic Algorithm, Hybrid Particle Swarm Optimization, and Hybrid Simulated Annealing, are proposed to solve the model. …”
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A Dynamic Scheduling Method of Earth-Observing Satellites by Employing Rolling Horizon Strategy by Qiu Dishan, He Chuan, Liu Jin, Ma Manhao

“…We also propose three dynamic scheduling algorithms by the combination of the RH strategy and various heuristic algorithms. Finally, the scheduling results of different algorithms are compared and the presented methods in this paper are demonstrated to be efficient by extensive experiments.…”
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A Genetic Algorithm to Minimize the Total Tardiness for M-Machine Permutation Flowshop Problems by Chia-Shin Chung, James Flynn, Walter Rom, Piotr Staliński

“…We also undertake a numerical study comparing GA with an optimal branch and bound algorithm, and various heuristic algorithms including the well known NEH algorithm and a local search heuristic LH. …”
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The Airport Gate Assignment Problem: A Survey by Abdelghani Bouras, Mageed A. Ghaleb, Umar S. Suryahatmaja, Ahmed M. Salem

“…Our survey covers both theoretical and real AGAP with the description of mathematical formulations and resolution methods such as exact algorithms, heuristic algorithms, and metaheuristic algorithms. We also provide a research trend that can inspire researchers about new problems in this area.…”
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A Deep Reinforcement Learning Approach to the Optimization of Data Center Task Scheduling by Haiying Che, Zixing Bai, Rong Zuo, Honglei Li

“…The task-scheduling operation with traditional heuristic algorithms is facing the challenges of uncertainty and complexity of the data center environment. …”
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Designing a Multi-Objective Closed-loop Supply Chain Mathematical Model with Supplier Selection Approach and considering Discount by Esmat Saadi, kiamars fathi, Reza Radfar

“…The presented model generates Pareto solutions using two proposed meta-heuristic algorithms, multi objective particle swarm optimization and non-dominated sorting genetic algorithm and combination of the two. …”
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Dynamic Resource Management in 802.11 Wireless Mesh Networks by George Athanasiou

“…The iterative heuristic algorithms that we propose controls the communication load of each mesh AP in a distributed manner. …”
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