Optimization of Irrigation Requirements for the Markonahalli Command Area Using the SWAT Model by Archana K., Suresh Ramaswwamy Reddy, Jagadish Vengala, Ashish Kumar Nayak

“…The optimization results show that 37.85% of the irrigation requirement can be conserved while maximizing crop yield.…”
Get full text

Beamforming Optimization for Information Enhancement Transmission in MISO SWIPT with NOMA System by Qing Miao, Longtao Zhou, Jiongqi Wang

“…First, in order to solve the problem for two-user case, the original problem is transformed into a semidefinite programming (SDP) problem, and then, the iterative updating algorithm is used to approximate the optimal value. …”
Get full text

Simulation and Optimization of Multi-Phase Terminal Trajectory for Three-Dimensional Anti-Ship Missiles Based on Hybrid MOPSO by Jiandong Sun, Shixun You, Di Hua, Zhiwei Xu, Peiyao Wang, Zihang Yang

“…To overcome these challenges, this research introduces a three-dimensional (3D) multi-stage trajectory optimization approach based on the hybrid multi-objective particle swarm optimization algorithm (MOPSO-h). …”
Get full text

A New Local Optimal Spline Wavelet for Image Edge Detection by Dujuan Zhou, Zizhao Yuan, Zhanchuan Cai, Defu Zhu, Xiaojing Shen

“…This paper proposes a new local optimal spline wavelet (LOSW) and the dual wavelet of the LOSW. …”
Get full text

Hybrid PI and Fuzzy Logic Control for Energy Optimization in Train Operations by Hwan-Hee Cho, Jae-Won Kim, Min-Sup Song, Chi-Myeong Yun, Gyu-Jung Cho, Zhongbei Tian

“…Key features include predictive speed scanning and adaptive PI control, enabling comprehensive energy optimization. Simulation results confirm significant energy savings or voltage regulation while maintaining operational reliability and precision. …”
Get full text

Optimizing Feature Selection for IOT Intrusion Detection Using RFE and PSO by zahraa mehssen agheeb Alhamdawee

“…Two feature selection mechanisms, which are Particle Swarm Optimization Algorithm (PSO) and Correlation-based Feature Selection Recursive Feature Elimination (RFE) have been used to compare their performances. …”
Get full text

Optimizing Remote Sensing Image Retrieval Through a Hybrid Methodology by Sujata Alegavi, Raghvendra Sedamkar

Get full text

Secure bio-inspired optimization with intrusion aware on-demand routing in MANETs by N. Naveen, J. Nirmaladevi

“…In addition, energy efficacy also plays vital role while selecting optimum path. Before that, the nodes which involve in the network are validated with the Digital Signature Algorithm based authentication procedure (DSA-Auth). …”
Get full text

SEIRS model for TB transmission dynamics incorporating the environment and optimal control by Francis Oketch Ochieng

“…This finding indicates that the proposed mathematical model closely aligns with the recorded TB incidence data. The optimal values of the model parameters were estimated from the fitting algorithm, and future TB transmission dynamics was projected for the next two decades. …”
Get full text

ZNN-Based Gait Optimization for Humanoid Robots with ALIP and Inequality Constraints by Yuanji Liu, Hao Jiang, Haiming Mou, Qingdu Li, Jianwei Zhang

“…The results demonstrate that, compared to the absence of an optimization strategy, the proposed algorithm can effectively prevent overshoot and approximate energy-efficient responses caused by large variations in angular momentum.…”
Get full text

Research on multi-condition optimization of centrifugal compressor impeller meridian profile. by Ning Yu, Xiaohan Yu, Zhi Cai, Xinle Yang, Liyong Tian, Song Li

“…The NSGA-III optimization algorithm is employed for multi-condition optimization, aiming to achieve comprehensive efficiency improvements under multiple operating speeds. …”
Get full text

Identifying a Global Optimizer with Filled Function for Nonlinear Integer Programming by Wei-Xiang Wang, You-Lin Shang, Lian-Sheng Zhang

“…This paper presents a filled function method for finding a global optimizer of integer programming problem. The method contains two phases: the local minimization phase and the filling phase. …”
Get full text

Multiuser computation offloading for edge-cloud collaboration using submodular optimization by Bing LIANG, Wen JI

“…A computation offloading scheme based on edge-cloud computing was proposed to improve the system utility of multiuser computation offloading.This scheme improved the system utility while considering the optimization of edge-cloud resources.In order to tackle the problems of computation offloading mode selection and edge-cloud resource allocation,a greedy algorithm based on submodular theory was developed by fully exploiting the computing and communication resources of cloud and edge.The simulation results demonstrate that the proposed scheme effectively reduces the delay and energy consumption of computing tasks.Additionally,when computing tasks are offloaded to edge and cloud from devices,the proposed scheme still maintains stable system utilities under ultra-limited resources.…”
Get full text

Optimizing FCN for devices with limited resources using quantization and sparsity enhancement by Muhammad Faizan-Khan, Nisar Ali, Raja Hashim Ali, Areej Alasiry, Mehrez Marzougui, Shabbab Ali Algamdi, Yunyoung Nam

“…To fill this gap, we propose an innovative approach utilizing full-layer quantization with an $$L_2$$ error minimization algorithm, accompanied by sensitivity analysis to optimize fixed-point representation of network weights. …”
Get full text

Dynamic Coal Flow-Based Energy Consumption Optimization of Scraper Conveyor by Qi Lu, Yonghao Chen, Xiangang Cao, Tao Xie, Qinghua Mao, Jiewu Leng

“…The multi-objective optimization model for energy consumption is solved using the NSGA-II-ARSBX algorithm, yielding a 33.7% reduction in energy consumption, while the lump coal area is reduced by 27.7%, indicating a trade-off between energy efficiency and coal fragmentation. …”
Get full text

Crystal structure prediction based on diffusion model and graph network optimization by Tao Hong, Jiong Yang, Guixin Cao

“…In this work, we propose a crystal structure prediction method called DiffOA, which combines a diffusion model with an optimization algorithm based on GNNs. By generating atomic coordinates through a diffusion process and minimizing the formation energy through an optimization process, DiffOA effectively reduces the searching space required for crystal structure prediction while respecting both the minimum energy principle and the symmetry of crystal structures. …”
Get full text

An Optimization Framework for Allocating and Scheduling Multiple Tasks of Multiple Logistics Robots by Byoungho Choi, Minkyu Kim, Heungseob Kim

“…To address this, we propose a five-step optimization framework that reduces computation time while maintaining practical applicability. …”
Get full text

Gradient-Informed Pareto-Based Multi-Objective Binary Topology Optimization by Francesco Lucchini, Riccardo Torchio, Piergiorgio Alotto

“…This article introduces a gradient-informed Pareto-based multi-objective TO algorithm with binary decision variables, called GPBTO, tailored to constrained bi-objective optimization problems (CBOPs), a common scenario in engineering design. …”
Get full text

Comparative Analysis of Dedicated and Randomized Storage Policies in Warehouse Efficiency Optimization by Rana M. Saleh, Tamer F. Abdelmaguid

“…Conversely, results from large-size instances indicate that D-SLAP surpasses R-SLAP in optimizing waiting time and tardiness objectives, while R-SLAP achieves lower transportation cost.…”
Get full text

RIS-assisted terahertz frequency band vehicle network capacity optimization by Fatang CHEN, Xiaoling LIU, Dan WANG, Ruofan ZHANG

“…In order to alleviate the spectrum scarcity and capacity limitation of the current wireless system, the terahertz frequency band was introduced and the reconfigurable intelligent surface (RIS) was used for auxiliary communication to construct a downlink vehicle network.Considering the constraints of limited total system power, QoS constraints of cellular mobile users, and randomness constraints of vehicle and user locations, a hybrid optimization model was established for optimal power allocation and optimal deployment of RIS with the aim of maximizing the total rate of vehicle users.Based on the balance method, linear transformation method, and element elimination method, the original NP-hard problem was transformed into a convex optimization problem with complex correlation constraints and multivariate coupling.The inner layer iteration was based on the Lagrange multiplier method to solve the optimal power allocation, and the outer layer iteratively solved the optimal deployment of RIS based on a improved genetic algorithm.The simulation results show that rationally deploying the number and distribution density of RIS nodes based on optimal power allocation can save costs while achieving a higher target total capacity.…”
Get full text