Energy-Efficient Target Tracking in Wireless Sensor Networks: A Quantized Measurement Fusion Framework by Yan Zhou, Dongli Wang, Tingrui Pei, Yonghong Lan

“…Optimizing the design of tracking system under energy and bandwidth constraints in wireless sensor networks (WSN) is of paramount importance. …”
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Insight into the mechanical properties and the sustainable application of recycled permeable concrete: Green low-carbon concrete technology. by Shaojian Xia, Lei Peng, Wu Zhang, Hongliang Zhu, Jing Li

“…The performance optimization of reclaimed permeable concrete helps to reduce the energy consumption of building materials preparation and promotes green and sustainable development. …”
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Research on the Utilization of Metro Regenerative Braking Energy Based on an Improved Differential Evolution Algorithm by Di Liu, Song-Qing Zhu, Yun-Rui Bi, Kun Liu, You-Xiong Xu

“…The overlap time is further increased by 14.87% by optimizing the headway. In nonpeak hours, the overlap time of traction and braking of the trains in opposite directions at the same station is increased by optimizing the bidirectional departure interval, thereby reducing the total energy consumption of the system.…”
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ParticleHolography.jl: Holographic particle measurement in Julia by Dai Nakai, Yohsuke Tanaka

“…Leveraging the Julia language architecture and NVIDIA GPU capabilities, the package accommodates both interactive parameter exploration and optimization as well as intensive, large-scale data processing across multiple nodes. …”
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Fast Mumford-Shah Two-Phase Image Segmentation Using Proximal Splitting Scheme by Nilima Shah, Dhanesh Patel, Pasi Fränti

“…However, the problem is that optimization of the functional can be very slow. To attack this problem, we propose a reduced two-phase Mumford-Shah model to segment images having one prominent object. …”
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Design Improvement of a BWB Aerodynamic Performance at Cruise and Take-Off Speeds by Gang Yu, Yuling Duan

“…To achieve this goal, firstly, based on the previous calculation and analysis results, the basic shape of SWB is improved by using “aft-body extending” technology and discrete adjoint optimization method. Then, the winglets are applied to the improved basic shape to improve its cruise speed aerodynamic performance, and the Krueger flaps are applied as its high-lift device to improve its take-off and landing aerodynamic performance. …”
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A Vibration Reliability Analysis Method for the Uncertain Space Beam Structure by Yanyu Mo, Shuxiang Guo, Cheng Tang

“…A frequency analysis method based on the monotonicity discriminant of the frequency sensitivity is presented. Then an optimization algorithm is introduced to verify the validity of the former frequency analysis method. …”
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Autonomous Bus Fleet Control Using Multiagent Reinforcement Learning by Sung-Jung Wang, S. K. Jason Chang

“…We propose a multi-agent reinforcement learning method combined with an advanced policy gradient algorithm for this large-scale dynamic optimization problem. An agent-based simulation platform was developed to model the dynamic system of a fixed stop/station loop route, autonomous bus fleet, and passengers. …”
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A Dynamic Territorializing Approach for Multiagent Task Allocation by Mohammad Islam, Mehdi Dadvar, Hassan Zargarzadeh

“…The concept of center of mass has been adopted because it simplifies the task of territorial optimization and allows the system to dynamically adapt to changes in the environment by adjusting the assigned partitions as more targets are discovered. …”
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Joint waveform and precoding design for coexistence of MIMO radar and MU‐MISO communication by Tong Wei, Linlong Wu, Bhavani Shankar Mysore Rama Rao

“…However, the resulting optimization problem which contains the maximin objective function and the unit sphere constraint, is highly nonconvex and hence difficult to attain the optimal solution directly. …”
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A Hybrid Chatter Detection Method Based on WPD, SSA, and SVM-PSO by Erhua Wang, Peng Yan, Jie Liu

“…Furthermore, the support vector machine model is optimized by particle swarm optimization to recognize the cutting states in end milling. …”
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Cognitive Code-Division Channelization with Admission Control by Kanke Gao, Onur Ozdemir, Dimitris A. Pados, Stella N. Batalama, Tommaso Melodia, Andrew L. Drozd

“…This is an NP-hard optimization problem which motivates the development of suboptimal algorithms. …”
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An Improved Multiobjective Algorithm: DNSGA2-PSA by Dan Qu, Xianfeng Ding, Hongmei Wang

“…In general, the proximities to a certain diversity along the front and the Pareto front have the equal importance for solving multiobjective optimization problems (MOPs). However, most of the existing evolutionary algorithms give priority to the proximity over the diversity. …”
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Sparse Recovery for Bistatic MIMO Radar Imaging in the Presence of Array Gain Uncertainties by Jun Li, Shengqi Zhu, Xixi Chen, Li Lv, Guisheng Liao, Menglei Yi

“…An additional constraint is imposed on the inverse of the transmit and receive array gain errors matrices to make the optimization problem of the CS solvable. The image of the targets can be reconstructed using small number of snapshots in the case of large array gain uncertainties. …”
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Fast Model Predictive Control Based on Adaptive Alternating Direction Method of Multipliers by Yu Li, Qiming Zou, Xiaoru Ji, Chanyuan Zhang, Ke Lu

“…In MPC, the control input at each time step is obtained by solving an online optimization problem, which will cause a time delay in real time on embedded computers with limited computational resources. …”
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Myocardial Viability: From Proof of Concept to Clinical Practice by Aditya Bhat, Gary C. H. Gan, Timothy C. Tan, Chijen Hsu, Alan Robert Denniss

“…Imaging modalities have become front-line methods in the assessment of viable myocardial tissue, with the aim to stratify patients into optimal treatment pathways. Initial studies, although favorable, lacked sufficient power and sample size to provide conclusive outcomes of viability assessment. …”
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Image Reconstruction for High-Performance Electrical Capacitance Tomography System Using Deep Learning by Yanpeng Zhang, Deyun Chen

“…To address the obstacles, this paper proposes an imaging method using an optimizer reconstruction model. An optimization model for imaging is generated as a powerful optimizer for building a computational model to ameliorate the reconstruction accuracy. …”
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Investigation of the TIG Welding Process for Joining AA6082 Alloy Using Grey Relational Analysis by G. Sathish Kumar, M. Ramesh, S. Dinesh, Prabhu Paramasivam, N. Parthipan

“…The goal of this project is to find optimization parameters in the TIG weld bead. To ensure the success of this research project, a semiautomatic TIG was developed. …”
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Improving Data Privacy in the Internet of Things by Using Artificial Immune System, in Regard with the Internet Limitations by Marzieh Faridi Masouleh, Ali Harounabadi, Asal Sayyad

“…The proposed approach aims to find an optimal path with high competence. This method has been implemented in MATLAB software and the results of experiments show that although the Artificial Immune System (AIS) algorithm has no certain solution for optimization problems, it finds a near optimal answer. …”
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Research and Model Prediction on the Performance of Recycled Brick Powder Foam Concrete by Hongyang Xie, Jianjun Dong, Yong Deng, Yiwen Dai

“…Five machine learning models, namely, back propagation neural network improved by particle swarm optimization (PSO-BP), support vector machine (SVM), multiple linear regression (MLR), random forest (RF), and back propagation neural network (BP), were used to predict the compressive strength of recycled brick powder foam concrete, and the PSO-BP model was found to have obvious advantages in terms of prediction accuracy and model stability. …”
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