IFDR: An Efficient Iterative Optimization Algorithm for Standard Cell Placement by Feng Cheng, Junfa Mao

“…A new heuristic algorithm based on local optimization is combined with the IFDR method to improve the placement. …”
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Convergence Rates of Gradient Methods for Convex Optimization in the Space of Measures by Chizat, Lénaïc

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Chaotic Honeybees Optimization Algorithms Approach for Traveling Salesperson Problem by Pedro Palominos, Carla Ortega, Miguel Alfaro, Guillermo Fuertes, Manuel Vargas, Mauricio Camargo, Victor Parada, Gustavo Gatica

“…Due to the difficulty in solving combinatorial optimization problems, it is necessary to improve the performance of the algorithms by improving techniques to deal with complex optimizations. …”
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A spatiotemporal optimization engine for prescribed burning in the Southeast US by Reetam Majumder, Adam J. Terando, J. Kevin Hiers, Jaime A. Collazo, Brian J. Reich

“…To facilitate effective decision making and acknowledge growing uncertainties related to climate change effects on wildland fire operations, we developed a spatiotemporal optimization engine to identify near-term optimal burning opportunities for prescribed fire implementation. …”
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Rotating antibiotics selects optimally against antibiotic resistance, in theory by Robert E. Beardmore, Rafael Peña-Miller

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Optimization of Electromagnetic Parameters for the 3rd-generation FC MOLD by Duan　Fuchun, Wang　Yuping, Zhu　Zhiqiang

“…Through industrial experiments， the operating parameters of FC MOLD G3 were optimized. After optimization， the parameters of the combined mode of stirring and braking are： upper DC current is 68% full current of upper coil， upper AC current is 26% full current of upper coil， and lower DC current is 48% full current of lower coil. …”
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Tax haven as a method for tax optimization in holding structures by Joanna Toborek- Mazur

“…She draws attention to the fundamental aspects of the issue of tax optimization using a holding structure. This structure has allowed the world's largest business entities to create such schemes that allowed them to optimize taxes by circumventing taxes (tax avoidance) and sometimes illegally bypassing them (tax evasion). …”
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Computational frameworks transform antagonism to synergy in optimizing combination therapies by Jinghong Chen, Anqi Lin, Aimin Jiang, Chang Qi, Zaoqu Liu, Quan Cheng, Shuofeng Yuan, Peng Luo

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Optimal Allocation of Shared Manufacturing Resources Based on Bilevel Programming by Peng Liu, Caiyun Liu, Xiaoling Wei

“…In the bilevel programming model, the flexible indicators representing the interests of the platform are the upper-level optimization target of the model and the Quality of Service (QoS) indicators representing the interests of consumers are the lower-level optimization goal. …”
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Optimization on Nonlinear Dynamics of Gear Rattle in Automotive Transmission System by Mingxuan Liang, Ying Wang, Tian Zhao

“…Finally, the gear backlash, equivalent mass, and rotational speed are optimized based on Kriging surrogate model (KSM) and differential evolution (DE) algorithm by taking the minimization of the maximum rattle noise as the optimal object. …”
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Dynamic Modeling and Optimal Control for Complex Systems with Statistical Trajectory by Lingli Guo, Zhengguang Xu, Ye Wang

“…Then, based on the working state class dynamic modeling, the optimal control method which is significant to achieve trajectory tracking for sintering machine is developed by constructing the quadratic performance indicator. …”
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Neutrosophic Number Optimization Models and Their Application in the Practical Production Process by Angyan Tu, Jun Ye, Bing Wang

“…Next, the two methods are applied to linear and nonlinear programming problems with neutrosophic number information to obtain the optimal solution of the maximum/minimum objective function under the constrained conditions of practical productions by neutrosophic number optimization programming (NNOP) examples. …”
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Uptime optimization in a vertical dryer and its economic impact by Anderson Farias da Silva, Jorge Henrique de Oliveira Sales, João Pedro de Castro Nunes Pereira

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A Robust Multiobjective Mathematical Model Optimizing Stock Portfolio by Mehran Sadri, Alireza Sadeghi, Mahdi Madanchi Zaj, Esmaeel Afzoon, Helia Dardaei-beiragh

“…The present paper investigates the problem of capital portfolio selection under uncertain conditions and uses a robust optimization approach for modeling. The model provided in this paper is a three-objective model that aims to maximize returns, maximize liquidity, and minimize risk. …”
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Optimal Delivery of Pain Management in Schwannomatosis: A Literature Review by Hino U, Tamura R, Toda M

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The Optimal Noise Distribution for Privacy Preserving in Mobile Aggregation Applications by Hao Zhang, Nenghai Yu, Honggang Hu

“…Our theoretical and numerical analysis suggests that the Gaussian distribution is the optimal solution for the Gaussian input and the asymptotically optimal solution for the truncated Gaussian input.…”
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Optimization of Clinical Nursing Management System Based on Data Mining by Yongxia Chen

“…Therefore, this research is based on the framework of the hospital’s existing clinical care system, using data mining technology to improve the Bayesian algorithm and data preprocessing, optimizes the design of functional modules in the clinical nursing management system, and optimizes the patient information management, medical order management, medical order execution management, basic information and expense management, nursing execution process management, system and data management, barcode management, physical sign management, WAP information management, and other subsystems in the clinical nursing information management system. …”
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Eliminating Network Depth: Genetic Algorithm for Parameter Optimization in CNNs by M. Askari, S. Soleimani, M. H. Shakoor, M. Momeni

“…This paper proposes a novel method based on a genetic algorithm to optimize parameter selection, enabling the construction of CNNs that achieve superior accuracy with fewer parameters. …”
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Optimization and Performance Analysis of Rail-Train Coupling System with Inerters by Shichang Han, Xian Wang, Chunxi Yang, Guowei Xie, Zhongcheng Qiu, Chen Wang

“…Optimization for vertical vibration performance of a rail-train coupling system is investigated in this paper with the introduction of inerters for both primary and secondary suspensions. …”
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The Hybrid BFGS-CG Method in Solving Unconstrained Optimization Problems by Mohd Asrul Hery Ibrahim, Mustafa Mamat, Wah June Leong

“…In solving large scale problems, the quasi-Newton method is known as the most efficient method in solving unconstrained optimization problems. Hence, a new hybrid method, known as the BFGS-CG method, has been created based on these properties, combining the search direction between conjugate gradient methods and quasi-Newton methods. …”
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