Automatic Detection and Classification of Road, Car, and Pedestrian Using Binocular Cameras in Traffic Scenes with a Common Framework by Yongchao Song, Jieru Yao, Yongfeng Ju, Yahong Jiang, Kai Du

“…We propose a peripheral envelope algorithm to determine sources of vehicles and pedestrians on the road. …”
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An Airway Network Flow Assignment Approach Based on an Efficient Multiobjective Optimization Framework by Xiangmin Guan, Xuejun Zhang, Yanbo Zhu, Dengfeng Sun, Jiaxing Lei

“…Secondly, the nondominated sorting genetic algorithm II is applied for each population. In addition, a cooperative coevolution algorithm is adapted to divide the ANFA problem into several low-dimensional biobjective optimization problems which are easier to deal with. …”
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Maximum Likelihood Angle-Range Estimation for Monostatic FDA-MIMO Radar with Extended Range Ambiguity Using Subarrays by Kaikai Yang, Sheng Hong, Qi Zhu, Yanheng Ye

“…Moreover, the proposed AP-ML algorithm is superior over the traditional estimation algorithms in terms of the estimation accuracy and resolution.…”
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Hybrid Design of Optimal Capacitor Placement and Reconfiguration for Performance Improvement in a Radial Distribution System by Ali Nasser Hussain, Waleed Khalid Shakir Al-Jubori, Haider Fathi Kadom

“…The optimal selections of open switches, location, and size of capacitors in the individual and dual design for RDS are achieved using four different optimization algorithms. These algorithms are Modified Biogeography-Based Optimization (MBBO) algorithm, Cuckoo Search (CS) algorithm, Modified Imperialist Competitive (MIC) algorithm, and Modified Bacterial Foraging-Based Optimization (MBFBO) algorithm. …”
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Reinforced AdaBoost Learning for Object Detection with Local Pattern Representations by Younghyun Lee, David K. Han, Hanseok Ko

“…A reinforced AdaBoost learning algorithm is proposed for object detection with local pattern representations. …”
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An Intelligent Health Monitoring Model Based on Fuzzy Deep Neural Network by Tianye Xing, Yidan Wang, Yingxue Liu, Qi Wu, Rong Ma, Xiaoling Shang

“…On the basis of previous work, the genetic algorithm and fuzzy theory were introduced as optimization tools, and a new neural network training algorithm was constructed by combining genetic algorithm, fuzzy theory, and neural network technology for structural health monitoring research. …”
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Filtering in the presence of information losses based on the extended least squares method by V. M. Artemiev, A. O. Naumov

“…This approach leads to complex algorithms that are difficult to implement in practice. …”
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Analysis of Key Commuting Routes Based on Spatiotemporal Trip Chain by Wenbin Yao, Caijun Chen, Hongyang Su, Nuo Chen, Sheng Jin, Congcong Bai

“…In this study, a framework of the key commuting route mining algorithm based on license plate recognition (LPR) data is proposed. …”
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Study on an Intelligent Prediction Method of Ticket Price in a Subway System with Public-Private Partnership by Shengmin Wang, Jun Fang, Lanjun Liu, Han Wu

“…The results showed that the linear correlations between influencing factors and ticket price for the PPP subway system service were weak, which indicated the need for using nonlinear analysis methods such as the BP algorithm. Compared with other prediction methods (the price adjustment method based on PPP contract, the traditional BP algorithm, the BP neural network improved by the genetic algorithm, the BP algorithm improved by the particle swarm optimization, and the support vector machine), the model proposed in this paper showed better prediction accuracy and calculation stability.…”
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In Situ Investigation of the 3D Mechanical Microstructure at Nanoscale: Nano-CT Imaging Method of Local Small Region in Large Scale Sample by Bo Dong, Feng Xu, Xiao-fang Hu, Hong-yan Qu, Dan Kang, Ti-qiao Xiao

“…To investigate the local micro-/nanoscale region in a large scale sample, an image reconstruction method for nanometer computed tomography (nano-CT) was proposed in this paper. In the algorithm, wavelets were used to localize the filtered-backprojection (FBP) algorithm because of its space-frequency localization property. …”
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Multiobjective Neuro-Fuzzy Controller Design and Selection of Filter Parameters of UPQC Using Predator Prey Firefly and Enhanced Harmony Search Optimization by Koganti Srilakshmi, Gummadi Srinivasa Rao, Katragadda Swarnasri, Sai Ram Inkollu, Krishnaveni Kondreddi, Praveen Kumar Balachandran, C. Dhanamjayulu, Baseem Khan

“…Moreover, the optimal choice of parameters for the adaptive neuro-fuzzy inference system (ANFIS) was achieved through the integration of the enhanced harmony search algorithm (EHSA) and the predator-prey-based firefly algorithm (PPFA) in the form of the hybrid metaheuristic algorithm (PPF-EHSA). …”
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Quantum-Based Feature Selection for Multiclassification Problem in Complex Systems with Edge Computing by Wenjie Liu, Junxiu Chen, Yuxiang Wang, Peipei Gao, Zhibin Lei, Xu Ma

“…In this paper, a quantum-based feature selection algorithm for the multiclassification problem, namely, QReliefF, is proposed, which can effectively reduce the complexity of algorithm and improve its computational efficiency. …”
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Data-Driven Robust Optimization of the Vehicle Routing Problem with Uncertain Customers by Jingling Zhang, Yusu Sun, Qinbing Feng, Yanwei Zhao, Zheng Wang

“…By optimizing the robust uncertainty model, combined with a data-driven kernel density estimation method, the distribution feature set of historical data samples can then be fitted, and finally, a distributed robust vehicle routing model for uncertain customers is established. The Q-learning algorithm in reinforcement learning is introduced into the high-level selection strategy using the hyper-heuristic algorithm, and a hyper-heuristic algorithm based on the Q-learning algorithm is designed to solve the problem. …”
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Bending obstacles when moving a mobile robot by A. V. Sidorenko, N. A. Saladukha

“…The issues of modeling when navigating around obstacles of a mobile robot using machine learning methods are considered: Q-learning, SARSA algorithm, deep Q-learning and double deep Q-learning. …”
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Improved Tomlinson–Harashima Precoding for Ultra Reliable Communication in Intelligent Transportation Systems by Shibiao He, Xinyi Yang, Yong Liao

“…Further, the iterative water filling power allocation algorithm and the multiuser scheduling algorithm based on the greedy algorithm are jointly optimized and applied to the THP, which could improve the system performance. …”
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Optimization of Port Emergency Materials Dispatch with Time Windows Constraints under Uncertainties by Bowei Xu, Yuqing Wang, Junjun Li

“…Through numerical experiments, the algorithm proposed in this study was compared with the genetic algorithm and adaptive genetic algorithm. …”
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Cross Validation Based Distributed Greedy Sparse Recovery for Multiview Through-the-Wall Radar Imaging by Lele Qu, Shimiao An, Yanpeng Sun

“…Based on the established joint sparsity signal model for multiview TWRI, a cross validation (CV) based distributed greedy sparse recovery algorithm which combines the strengths of the CV technique and censored simultaneous orthogonal matching pursuit algorithm (CSOMP) is proposed in this paper. …”
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Advanced Harmony Search with Ant Colony Optimization for Solving the Traveling Salesman Problem by Ho-Yoeng Yun, Suk-Jae Jeong, Kyung-Sup Kim

“…We propose a novel heuristic algorithm based on the methods of advanced Harmony Search and Ant Colony Optimization (AHS-ACO) to effectively solve the Traveling Salesman Problem (TSP). …”
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A Generalized Method for Dispersion Analysis of Guided Waves in Multilayered Anisotropic Magneto-Electro-Elastic Structures by Yanhui Zhang, Qiang Gao

“…A strictly theoretical analysis shows that the W-W algorithm cannot be applied directly to the MEE structure. …”
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Optimizing the Long-Term Operating Plan of Railway Marshalling Station for Capacity Utilization Analysis by Wenliang Zhou, Xia Yang, Jin Qin, Lianbo Deng

“…Finally, some numeric examples are constructed to analyze (1) the convergence of the algorithm, (2) the effect of some algorithm parameters, and (3) the influence of arrival train flow on the algorithm.…”
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