Tempering implementation optimism: distinguishing between efficacy and effectiveness in implementation research by Per Nilsen, Jeanette Wassar Kirk, Katarina Ulfsdotter Gunnarsson, Kristin Thomas

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A Novel hybridization of CG-techniques for Solving Unconstrained Optimization Problems by Hawraz Jabbar

“…Under strong wolf line search, we prove the sufficient descent and global convergence features. The new formula is more efficient than other traditional conjugate gradient approaches, according to numerical results. …”
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The Influence of PK/PD on the Structure of Optimal Controls in Cancer Chemotherapy Models by Urszula Ledzewicz, Heinz Schättler

“…Mathematical models for cancer chemotherapy as optimal control problems are considered. Results on scheduling optimal therapies when the controls represent the effectiveness of chemotherapeutic agents, or, equivalently, when the simplifying assumption is made that drugs act instantaneously, are compared with more realistic models that include pharmacokinetic (PK) equations modelling the drug's plasma concentration and various pharmacodynamic (PD) models for the effect the concentrations have on cells.…”
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The Existence Theorems of an Optimal Approximate Solution for Generalized Proximal Contraction Mappings by Wutiphol Sintunavarat, Poom Kumam

“…The aim of this paper is to extend and generalize the notions of proximal contractions of the first and second kinds which are more general than the notion of self-contractions, establish the existence of an optimal approximate solution theorems for these non-self-mappings, and also give examples to validate our main results.…”
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An Improved Nonmonotone Filter Trust Region Method for Equality Constrained Optimization by Zhong Jin

“…At every iteration, in common with the composite-step SQP methods, the step is viewed as the sum of two distinct components, a quasinormal step and a tangential step. A more relaxed accepted condition for trial step is given and a crucial criterion is weakened. …”
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Optimized Design of Power Electronic Traction Transformer Based on Virtual Maintenance by XIONG Jiayuan, ZHOU Wenyong, LIU Hongqiang, RAO Wanyong, LUO Xuan

“…With assembly verification, the efficiency of PETT assembly maintenance has been improved by more than 20%.…”
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Uphill Traction Strategy Optimization of Middle/Low-speed Maglev Train by JIAO Yanjun, WEN Yanhui, LIU Shaoke

“…The practical simulation results showed if the low-limit of the coasting speed for trains was regarded as the one that reached the top of the hill, this speed was more time and energy saving than others.…”
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Thermal boundary condition optimization of feed system based on RSM-IRIME by Haiyang Liu, Xianying Feng, Ming Yao, Anning Wang, Yandong Liu

“…In terms of temperature rise, RMSE is reduced by more than 52.49%, in terms of thermal deformation, RMSE is reduced by more than 51.21%. …”
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Optimized DenseNet Architectures for Precise Classification of Edible and Poisonous Mushrooms by Jay Prakash Singh, Debolina Ghosh, Jagannath Singh, Anurag Bhattacharjee, Mahendra Kumar Gourisaria

“…This is done through the implementation of more sophisticated model regularization techniques and automating the hyperparameter optimization process. …”
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Optimized Ensemble Methods for Classifying Imbalanced Water Quality Index Data by Zaharaddeen Karami Lawal, Ali Aldrees, Hayati Yassin, Salisu Dan'azumi, Sujay Raghavendra Naganna, Sani I. Abba, Saad Sh. Sammen

“…The study had limitations, such as the absence of advanced optimization or dimensionality reduction. In conclusion, it demonstrated that an ensemble model with optimized hyperparameters could classify river water quality more effectively than individual models, contributing to the advancement of sustainable development goals (SGD) related to water access.…”
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Global Convergence of a Spectral Conjugate Gradient Method for Unconstrained Optimization by Jinkui Liu, Youyi Jiang

“…A new nonlinear spectral conjugate descent method for solving unconstrained optimization problems is proposed on the basis of the CD method and the spectral conjugate gradient method. …”
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OPTIMAL CONTROL OF INFLUENZA A DYNAMICS IN THE EMERGENCE OF A TWO STRAIN by Jonner Nainggolan

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Study on the constructions of optimal almost quaternary sequences with period 2q by Xiuping PENG, Huipu JI, Deliang ZHENG, Xiaoxia NIU

“…Based on the Chinese remainder theorem and cyclotomic classes of order 4,the constructions of almost quaternary sequences with period N=2q (where q is an odd prime) was studied.According to the number of “0” in the two positions y(0) and y(q),three types of optimal almost quaternary sequences with optimal balance property and out-of-phase autocorrelation values as{0,-2},{0,2,-2} and {0,-2,-2i,2i} were constructed respectively.Through these constructions,all the almost quaternary sequences constructed are balanced and optimal.These constructed sequences extend the existence range of the balanced optimal quaternary sequences and provide more optimal sequences for practical applications.…”
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An Optimization Scheme of Test Performance Improvementfor AC Drive Test System by WANG Pengkui, ZHOU Xiaoling, CHENG Hao, WANG Yimin, XU Weizhuan

“…In order to evaluate the product performance more accurately, the bandwidth and precision of AC drive test system are required to be higher. …”
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Parameters Optimization and Track Adaptation Researchof Urban Vehicle Resilient Wheels by WEN Juan, LI Fu, YANG Yang, DING Junjun

“…With optimized stiffness, theadaptability of resilient wheel and rigid wheel on different track line had been researched. …”
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Grey modeling method for approximate exponential sequence of optimizing initial condition by Yun YUE, Guangyue LU

“…Grey GM（1,1）prediction method is only suitable for the prediction model of the original sequence which satisfies the characteristic of the approximate exponential through the accumulated generating operation.In order to widen the application range of the traditional grey prediction model,a new method,dubbed DGM（1,1,c,β）model（direct grey model）,was proposed to improve the accuracy of grey GM（1,1）prediction by optimizing initial conditions.DGM（1,1,c,β）model was established for the original sequence conforming to the approximate exponential and the model parameters were obtained by the particle swarm optimization algorithm.Both the simulation and analysis of the example demonstrate that the proposed method is more effective and practical.…”
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Optimization method of electric vehicle energy system based on machine learning by Huanmei Ren

“…In real-world highway scenarios, it records the lowest total energy consumption at 14.2 kWh, achieving a range of 503 km and an energy efficiency of 87.6%.DiscussionThese findings suggest that the proposed model offers a more efficient and reliable solution for EV energy optimization with strong application potential.…”
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Magnetic field optimization for long-lived entanglement in quantum spin systems by Jin Wang, Julie Krause

“…This dynamic control approach aims to extend coherence times and improve the stability of high-concurrence states, offering a potentially more robust solution for quantum communication and computation. …”
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Research on Gear Modification Optimization Design of Dual Power Drive Gearbox by Zixuan Ge, Zhuzheng Xu

“…The results show that the gear transmission error is obviously reduced after the modification， and the tooth surface load distribution is more uniform.…”
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Improved ant colony optimization algorithm for solving constraint satisfaction problem by HANGYong-gang Z, HANGSi-bo Z, UEQiu-shi X

“…The traditional backtracking algorithm was less efficient on solving large-scale constraint satisfaction problem,and more difficult to be solved within a reasonable time.In order to overcome this problem,many incompleteness algo-rithms based on heuristic search have been proposed.Two improvements based on ant colony optimization meta-heuristic constraint solving algorithm were presented:First,arc consistency checks was done to preprocess before exploring the search space,Second,a new parameter setting scheme was proposed for ant colony optimization to improve the effi-ciency of the search.Finally,the improved algorithm is applied to solve random problems and combinatorial optimization problems.The results of the experiment have showed its superiority.…”
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