Partial Least Squares (PLS) Integrated Fourier Transform Infrared (FTIR) Approach for Prediction of Moisture in Transformer Oil and Lubricating Oil by Siong Fong Sim, Amelia Laccy Jeffrey Kimura

“…This study aims to integrate partial least squares regression (PLSR) approach on FTIR spectra for prediction of moisture in locally accessible transformer oil and lubricating oil. …”
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Calibration of the Composition of Low-Alloy Steels by the Interval Partial Least Squares Using Low-Resolution Emission Spectra with Baseline Correction by M. V. Belkov, K. Y. Catsalap, M. A. Khodasevich, D. A. Korolko, A. V. Aseev

“…The aim of the study was developing quantitative multivariate calibrations of the concentrations of a set of chemical elements sufficient to identify low-alloy steels using low-resolution emission spectra. The multivariate partial least squares method was used to create the calibrations. …”
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Comparative analysis of single-view and multiple-view data collection strategies for detecting partially-occluded grape bunches: Field trials by Mar Ariza-Sentís, Hilmy Baja, Sergio Vélez, Rick van Essen, João Valente

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Solving the Traveling Salesman Problem: A Modified Metaheuristic Algorithm by Majid Yousefikhoshbakht

“…Also, a new method for moving the particle towards the best particle is presented, which, in addition to probably increasing the quality of the new answer, prevents the premature convergence of the algorithm due to consideration of the concept of random. …”
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Hybrid Algorithms for Fuzzy Reverse Supply Chain Network Design by Z. H. Che, Tzu-An Chiang, Y. C. Kuo, Zhihua Cui

“…In consideration of capacity constraints, fuzzy defect ratio, and fuzzy transport loss ratio, this paper attempted to establish an optimized decision model for production planning and distribution of a multiphase, multiproduct reverse supply chain, which addresses defects returned to original manufacturers, and in addition, develops hybrid algorithms such as Particle Swarm Optimization-Genetic Algorithm (PSO-GA), Genetic Algorithm-Simulated Annealing (GA-SA), and Particle Swarm Optimization-Simulated Annealing (PSO-SA) for solving the optimized model. …”
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Hybrid Improved PSO Algorithm for Soil Property Parameter Estimation by Mude Li, Aiping Shi, Yefan Shi, Tao Zhang, Cu Qu, Lihua Ye

“…This study proposes a hybrid PSO-EDO algorithm, integrating Particle Swarm Optimization (PSO) and the Exponential Distribution Optimizer (EDO) for efficient and accurate estimation of soil property parameters. …”
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Enhancing Residential Electricity Consumption Forecasting with Meta-Heuristic Algorithms by Milad Mohebbi, Behnam Sobhani

“…The meta-heuristic algorithms employed for fine-tuning the ANN's weight and bias parameters include the Genetic Algorithm (GA), Multi-Verse Optimizer (MVO), Moth Flame Optimization (MFO), Particle Swarm Optimization (PSO), Grey Wolf Optimizer (GWO), Advanced Grey Wolf Optimizer (AGWO), Biogeography-Based Optimization (BBO), and Particle Swarm Optimization with Grey Wolf Optimizer (PSOGWO). …”
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A better iterative algorithm for fixed-point problem in Banach spaces with application by Wakeel Ahmed, Shahid Zaman, Tamseela Ashraf, Asma Raza

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A Three-Component Polarimetric Target Decomposition Algorithm for Grasslands by Baokun Liu, Xiaoqi Lv, Xiujuan Li, Xiangli Yang, Pingping Huang, Weixian Tan, Yongguang Zhai, Yuejuan Chen, Kunpeng Xu

“…The experimental results show that this article’s algorithm performs better than other algorithms for decomposition effect on different data, and is more reflective of the scattering characteristics of different grassland vegetation regions.…”
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SL-n iterative localization algorithm in wireless sensor networks by LUO Xu, CHAI Li, YANG Jun

“…To compensate for the lackness of robustness caused by MMSE（minimum mean square estimation） in overall situation in wireless sensor network iterative multilateration algorithm,a new estimation algorithm called SL-n were proposed.Firstly all samples were obtained using trilateration or partial MMSE from every combination of n reference nodes which belonged to some blind node,then the location of the blind node were estimated.Simulation experiments show that the proposed SL-n algorithm outperforms MMSE method in overall situation and can reduce the position error sufficiently when the reference error is large.…”
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Salp Swarm Algorithm for Node Localization in Wireless Sensor Networks by Huthaifa M. Kanoosh, Essam Halim Houssein, Mazen M. Selim

“…In this paper, a node localization scheme is proposed based on a recent bioinspired algorithm called Salp Swarm Algorithm (SSA). The proposed algorithm is compared to well-known optimization algorithms, namely, particle swarm optimization (PSO), Butterfly optimization algorithm (BOA), firefly algorithm (FA), and grey wolf optimizer (GWO) under different WSN deployments. …”
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Robust interference alignment algorithm for cognitive MIMO interference network by Shi-lei ZHU, You ZHOU, Xiu-kun REN, Han-ying HU

“…A robust interference alignment algorithm was proposed for underlay cognitive MIMO interference network with imperfect channel-state information (CSI).Firstly,imperfect CSI was characterized by Euclidean ball-shaped uncer-tainty,based on which the optimization model of transmitting precoding and receiving interference subspace matrix was constructed with aimed of minimizing interference leak Then,primary users' interference temperature constraint un-der the worst-case condition was derived according to the matrix norm inequality.Finally,alternate iteration expressions of transceiver matrixes were obtained exploiting Lagrange partial dual-decomposition theory and sub-gradient update method.Moreover,the proposed algorithm's application condition and degrees of freedom range were theoretically ana-lyzed.Simulation results show that the proposed algor m is robust and its secondary users' network performance out-performs existing algorithms'.…”
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Ship Pipe Layout Based on Grid Normalized Astar Algorithm by LIN Yan, ZHANG Qiaoyu, LOU Jiandi

“…Finally, the GNAstar proposed is compared with the traditional Astar in a simulation case, and different pipe systems in ship engine room are taken as cases to further compare with the ant colony algorithm and particle swarm-Astar. The results show that the GNAstar proposed can obtain effective engineering solutions, and designers can obtain the corresponding layout result by setting the normalized weight coefficients of different targets.…”
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Congestion control algorithms in wireless sensor networks: Trends and opportunities by Syed Afsar Shah, Babar Nazir, Imran Ali Khan

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A Fast Map Merging Algorithm in the Field of Multirobot SLAM by Yanli Liu, Xiaoping Fan, Heng Zhang

“…In this paper, a map merging algorithm based on virtual robot motion is proposed for multi-robot SLAM. …”
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Wind resistance performance optimization of PSO algorithm in skyscrapers design by Wang Shifeng

“…The initial target value of quantum-behaved PSO was about 0.5, which decreased rapidly in the first 50 times, and slowly optimized from 50 to 200 times, and then tended to be stable and close to 0 after 200 times. The algorithm converged rapidly in the first 50 times, and had good stability after 200 times, which could find a better solution. …”
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Research on Small Target Detection Algorithm for Autonomous Vehicle Scenarios by Sheng Tian, Kailong Zhao, Lin Song

“…Nonetheless, existing algorithms offer room for improvement, particularly when detecting distant or inherently small targets, such as vehicles and pedestrians, from camera perspectives. …”
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Mobility Load Balancing in Cellular System with Multicriteria Handoff Algorithm by Solomon T. Girma, Abinet G. Abebe

“…Efficient traffic load balancing algorithm is very important to serve more mobile users in the cellular networks. …”
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СONSTRUCTION AND THE ALGORITHM OPERATION OF THE LASER COMBINED FIRE DETECTOR by A. I. Kitsak, A. P. Lushchyk, D. L. Esipovich, V. N. Konon, I. V. Kavalchyk, O. A. Protasevich, I. B. Tretyak

“…The urgent task for this type of detector is to increase its sensitivity to «black» smoke and ensure resilience to the effects of electromagnetic interference and particle smoke origin.The objective of this work is to develop a structure and algorithm of point combined fire detector that provides high sensitivity to various types of fumes, detection rate and high noise immunity. …”
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Gravitation search algorithm: Application to the optimal IIR filter design by Suman Kumar Saha, Rajib Kar, Durbadal Mandal, S.P. Ghoshal

“…The performances of the GSA based IIR filter designs have proven to be superior as compared to those obtained by real coded genetic algorithm (RGA) and standard Particle Swarm Optimization (PSO). …”
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