The Optimized Multivariate Grey Prediction Model Based on Dynamic Background Value and Its Application by Tongfei Lao, Xiaoting Chen, Jianian Zhu

“…In order to further improve the prediction accuracy of the multivariate grey prediction models, this paper establishes a novel multivariate grey prediction model based on dynamic background values (abbreviated as DBGM (1, N) model) and uses the whale optimization algorithm to solve the optimal parameters of the model. …”
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Study on Stochastic Linear Quadratic Optimal Control with Quadratic and Mixed Terminal State Constraints by Yang Hongli

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Optimal Scheduling Strategy for Regional Microgrid considering Large-Scale Access of Electric Vehicles by Tengfei Zhang, Yiling Cheng, Chen Peng, Fumin Ma, Deliang Zeng, Gregory M. P. O’Hare

“…To address these limitations, we propose an optimal scheduling strategy considering large-scale access of EVs based on the typical regional MG composed of commercial and residential subareas, combining the power consumption characteristics of the two subareas and the travel characteristics of EVs. …”
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Design Optimization of a 3-PUU Parallel Machine for Friction Stir Welding Robots by Eka Marliana, Latifah Nurahmi, Arif Wahjudi, I. Made Londen Batan, Guowu Wei

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Optimization of the second phase morphology and content effect to impact resistance of epoxy resin composite by Fitri Muhamad, Mahzan Shahruddin, Muhammad Zago Dagaci, Zakaria Supa’at, Feriyanto Dafit

“…With this regression model, it is possible to predict the impact strength of various morphological forms of the second phase and optimize the optimum content of the second phase.…”
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Reliable Shape Optimization of Structures Subjected to Transient Dynamic Loading Using Genetic Algorithms by Sabyasachi Chand, Anjan Dutta

“…This paper presents a reliable method of solution of two dimensional shape optimization problems subjected to transient dynamic loads using Genetic Algorithms. …”
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Reinforcement learning based route optimization model to enhance energy efficiency in internet of vehicles by Quadeer Hussain, Ahmad Shukri Mohd Noor, Muhammad Mukhtar Qureshi, Jianqiang Li, Atta-ur Rahman, Aghiad Bakry, Tariq Mahmood, Amjad Rehman

“…In the realm of IoV, we propose OptiE2ERL, an advanced Reinforcement Learning (RL) based model designed to optimize energy efficiency and routing. Our model leverages a reward matrix and the Bellman equation to determine the optimal path from source to destination, effectively managing communication overhead. …”
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A Hybrid Ant Colony Optimization Algorithm for Multi-Compartment Vehicle Routing Problem by Ning Guo, Bin Qian, Rong Hu, Huai P. Jin, Feng H. Xiang

“…In this paper, an improved hybrid ant colony optimization algorithm (IHACO) is proposed to minimize the total mileage of the MCVRP. …”
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Design and Optimization of a Lightweight and Simple Self-Propelled Crawler Potato Combine Harvester by Caichao Liu, Ning Wu, Guangseng Cheng, Feng Wu, Fengwei Gu, Lili Shi, Bing Wang

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A Method of Arrival Angle Optimization in Single-Station Positioning Based on Statistical Features by Ting Li, Tongxin Liu, Xuehai Yang, Guobin Yang, Chunhua Jiang, Chongzhe Lao

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Development and optimization of the activated charcoal suspension composition based on a mixture design approach by Ronowicz Joanna, Kupcewicz Bogumiła, Pałkowski Łukasz, Krysiński Jerzy

“…The obtained mathematical models and response surface allowed selection of the optimal composition of excipients in a final drug product…”
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Optimizing the Long-Term Operating Plan of Railway Marshalling Station for Capacity Utilization Analysis by Wenliang Zhou, Xia Yang, Jin Qin, Lianbo Deng

“…In this paper, a long-term operating plan is optimized mainly for capacity utilization analysis. …”
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Finding Global Minima with a Filled Function Approach for Non-Smooth Global Optimization by Weixiang Wang, Youlin Shang, Ying Zhang

“…A filled function approach is proposed for solving a non-smooth unconstrained global optimization problem. First, the definition of filled function in Zhang (2009) for smooth global optimization is extended to non-smooth case and a new one is put forwarded. …”
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Constrained Multiobjective Equilibrium Optimizer Algorithm for Solving Combined Economic Emission Dispatch Problem by M. A. El-Shorbagy, A. A. Mousa

“…This research implements a recent evolutionary-based algorithm of equilibrium optimizer to resolve the constrained combined economic emission dispatch problem. …”
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Joint Optimization Design of UAV-Active RIS System Based on a Quadratic Transformation by Yi Peng, Haolin Li, Qingqing Yang

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Parameter Sensitivity Analysis and Optimization of the Single-Layer Urban Canopy Model in the Megacity of Shanghai by Xiangyu Ao, Ning Zhang

“…In order to meet the demand of more refined urban weather forecast, it is of great practical significance to improve and optimize the single-layer urban canopy model (SLUCM) suitable for the megacity of Shanghai. …”
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Optimization of a Conical Corrugated Antenna Using Multiobjective Heuristics for Radio-Astronomy Applications by S. López-Ruiz, R. Sánchez Montero, F. Tercero-Martínez, P. L. López-Espí, J. A. López-Fernandez

“…The aperture efficiency is higher than 84% and the return losses are greater than 20 dB in the whole bandwidth. The antenna optimization has been carried out with multiobjective versions of an evolutionary algorithm (EA) and a particle swarm optimization (PSO) algorithm. …”
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Optimizing mechanical performance: Epoxy-graphene oxide nanocomposites for enhanced strength in lattice structure by Ramezanali Gholami, Ahmad R. Khoogar, Mohammad Hossein Allaei

“…Using Taguchi method, optimal values of 0.25 wt%, 6 g, and 150 min were determined for GO content, oxidation degree, and homogenization time, respectively. …”
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Optimal Strategies for Manufacturers with the Reference Effect under Carbon Emissions-Sensitive Random Demand by Baojun Zhang, Shaojian Qu, Panpan Li, Ripeng Huang

“…It is shown that the newsvendor has a uniquely optimal policy. The influence of the reference effect makes the final decisions deviate from the optimal solutions of the classical model. …”
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Engineering hydrophobicity and manufacturability for optimized biparatopic antibody–drug conjugates targeting c-MET by Andreas Evers, Simon Krah, Deniz Demir, Ramona Gaa, Desislava Elter, Christian Schroeter, Stefan Zielonka, Nicolas Rasche, Julia Dotterweich, Christine Knuehl, Achim Doerner

“…The methodologies of in silico hydrophobicity identification and sequence optimization could serve as a blueprint for rapid development of optimal biparatopic ADCs targeting further tumor-associated antigens in the future.…”
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