Preference-based expensive multi-objective optimization without using an ideal point by Peipei Zhao, Liping Wang, Qicang Qiu

“…However, most existing methods rely on the estimated ideal point. Since the search process of preference-based approaches is always biased towards the region of interest (ROI), it is highly challenging to estimate the ideal point in preference-based expensive multi-objective optimization. …”
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Point Data Registration With the Multi-Object, Cardinalized Optimal Linear Assignment Metric by Pablo A. Barrios, Vicente Guzman, Martin D. Adams, Claudio A. Perez

“…The resulting Particle Swarm Optimization (PSO)-COLA registration algorithm is capable of determining inter-scan point correspondences, but can also run based on point correspondences determined by other algorithms, such as the application of Fast Point Feature Histograms (FPFH) descriptors. …”
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Interior Point Algorithm in Multi-objective Portfolio Optimization: GlueVaR Approach by Elaheh Gohania, Gholamreza Mansourfar, Fahimeh Biglari

“…The major objective of this research is to apply the inner point mathematical algorithm to optimize the stock portfolio and to use this algorithm to address the multi-objective portfolio optimization problem. …”
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A Special Points and Neural Network-Based Dynamic Multi-Objective Optimization Algorithm by Sanyi Li, Wenjie Hou, Peng Liu, Weichao Yue, Qian Wang

Subjects: “…Dynamic multi-objective optimization…”
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Multi-objective Optimization of the Mobile Garbage Compression<italic>'</italic>s Turnover Mechanism by Wen Hong, Wang Huqi, Liang Guangming, Zhang Yanqing

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Uncertainty-aware multi-objective growth optimizer of EV charging stations allocation in unbalanced grids by Abdullah M. Shaheen, Aya R. Ellien, Adel A. El-Ela, Ali M. El-Rifaie

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Research and application of optimization of physical education training model based on multi-objective differential evolutionary algorithm by Man Wu

“…The specific conclusions are as follows: (1) MODE algorithm is better to other algorithms in convergence speed and accuracy; MODE algorithm can not only reach the optimal particle position quickly, but also fluctuate around the best point.(2) AMODE-MPS has great potential for dealing with complex and multiple objectives.(3) There are significant differences between the prediction performance of the proposed algorithm model and the statistical performance, in which the statistical performance is significantly higher than the predicted performance.(4) The proposed model can basically meet the prediction requirements. …”
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Multifactor exploration and multi-objective optimization of trapezoidal threads by Yongchao Zhou, Zhihua Yan, Peng Zhou, Yanping Zheng

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A Multi-Objective Decision-Making Method for Optimal Scheduling Operating Points in Integrated Main-Distribution Networks with Static Security Region Constraints by Kang Xu, Zhaopeng Liu, Shuaihu Li

“…Thereby, using the traditional hierarchical economic scheduling method makes it difficult to accurately find the optimal scheduling operating point. To address this problem, this paper proposes a multi-objective dispatch decision-making optimization model for the IMDN with static security region (SSR) constraints. …”
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Optimal Configuration of Soft Open Point and Energy Storage Based on Snowflake-Shaped Grid Characteristics and Sensitivity Analysis by Zhe Wang, Zhang Zhang, Fengzhang Luo, Xiaoyu Qiu, Xuefei Zhang, Jiali Duan

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Configuration Design and Size Optimization of a High-Precision Novel Parallel Pointing Mechanism Based on Interference Separation by Sen Wang, Shihua Li, Xueyan Han, Jiahao Wei, Xueyuan Gao, Hongyu Xu

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The Optimal Dispatch for a Flexible Distribution Network Equipped with Mobile Energy Storage Systems and Soft Open Points by Yu Ji, Ying Zhang, Lei Chen, Juan Zuo, Wenbo Wang, Chongxin Xu

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Multi-objective Design and Optimization for Supply Chain of Modular Methanol Productions  by Weibin Xu, Le Wu, Lixia Kang, Yongzhong Liu

“…In order to balance economic and environmental goals, an optimal compromise point is set, considering both objectives equally important. …”
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Multi-Objective Optimal Control Method for the 6-DOF Robotic Crusher by Guochen Duan, Lele Yao, Zhanyu Zhan, Tao Kang, Chaoyue Guo

“…In order to achieve the best crushing effect of the 6-DOF robotic crusher, a multi-objective optimal control method for the 6-DOF robotic crusher has been proposed. …”
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A Chaotic Decomposition-Based Approach for Enhanced Multi-Objective Optimization by Javad Alikhani Koupaei, Mohammad Javad Ebadi

“…Multi-objective optimization problems often face challenges in balancing solution accuracy, computational efficiency, and convergence speed. …”
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RESEARCH ON PARAMETRIC ANALYSIS AND MULTI-OBJECTIVE OPTIMIZATION OF CYLINDRICAL PRESSURE STRUCTURE by LIU Feng, TU ChaoHua, ZHAO YanKai

“…In order to improve the design efficiency and performance of the cylindrical pressure structure,strength and stability analysis methods were determined,the initial scheme was analyzed. the second development of Abaqus software was carried out by using Python language,Abaqus was integrated with i Sight software,the parametric analysis flow of pressure structure was designed,could realize automatic modeling and analysis of cylindrical pressure structure. the most Latin hypercube method was used to selectting the sample points,the sensitivity analysis of the design variables were carried out,The comparison of the fitting accuracy shown that the response surface model had the highest accuracy,the approximate model of the cylindrical pressure structure based on the fourth-order response surface was obtained. the multi-objective optimization model was established,The second generation of non dominated sorting genetic algorithm was used to solving the multi-objective optimization problem,the results shown that the weight of the optimization scheme was reduced,while the ultimate strength was greatly improved,improved the performance of the cylindrical pressure structure.…”
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A practical guide to optimizing industrial thermal spraying through comparative multi-objective optimization by Wolfgang Rannetbauer, Simon Hubmer, Carina Hambrock, Ronny Ramlau

“…These competing objectives lead to multi-objective optimization problems, where algorithms are employed to identify Pareto-optimal solutions—compromise points which provide decision-makers with feasible parameter settings. …”
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Control points deployment in an Intelligent Transportation System for monitoring inter-urban network roadway by Martin Luther Mfenjou, Ado Adamou Abba Ari, Arouna Ndam Njoya, David Jaures Fotsa Mbogne, Kolyang, Wahabou Abdou, François Spies

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Optimization of Rate of Penetration and Mechanical Specific Energy Using Response Surface Methodology and Multi-Objective Optimization by Diunay Zuliani Mantegazini, Andreas Nascimento, Mauro Hugo Mathias, Oldrich Joel Romero Guzman, Matthias Reich

“…Thus, the goal of this research was to analyze field data from pre-salt layer operations, using a 2D analysis of parameters as a function of depth, response surface methodology (RSM), and multi-objective optimization. The results show that the RSM method and multi-objective optimization provide better results when compared with 2D analysis of parameters as a function of depth. …”
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Resolving Contrast and Detail Trade-Offs in Image Processing with Multi-Objective Optimization by Daniel Molina-Pérez, Alam Gabriel Rojas-López

“…This trade-off is tackled using a multi-objective optimization approach. Specifically, the proposal’s model integrates the sigmoid transformation function and unsharp masking highboost filtering with the NSGA-II algorithm. …”
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