Computing the Mean-Variance-Sustainability Nondominated Surface by ev-MOGA by A. Garcia-Bernabeu, J. V. Salcedo, A. Hilario, D. Pla-Santamaria, Juan M. Herrero

“…For this purpose, new computational methods for optimizing this complex multiobjective problem are needed. …”
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Green and Reliable Freight Routing Problem in the Road-Rail Intermodal Transportation Network with Uncertain Parameters: A Fuzzy Goal Programming Approach by Yan Sun

“…In this study, the author focuses on modeling and optimizing a freight routing problem in a road-rail intermodal transportation network that combines the hub-and-spoke and point-to-point structures. …”
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Exploring Physics-Informed Neural Networks for the Generalized Nonlinear Sine-Gordon Equation by Alemayehu Tamirie Deresse, Tamirat Temesgen Dufera

“…Various experiments were conducted to determine an optimal neural architecture. The network training was employed by using the current state-of-the-art optimization methods in machine learning known as Adam and L-BFGS-B minimization techniques. …”
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Intelligent Supply Chain Management Modules Enabling Advanced Manufacturing for the Electric-Mechanical Equipment Industry by Chun-Hua Chien, Po-Yen Chen, Amy J. C. Trappey, Charles V. Trappey

“…The intelligent supplier selection and component ordering module dispatches orders that match the best options of suppliers based on combined analytic hierarchy process (AHP) analysis and multiobjective integer optimization. …”
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Design of a Conceptual Bumper Energy Absorber Coupling Pedestrian Safety and Low-Speed Impact Requirements by Fuhao Mo, Siqi Zhao, Chuanhui Yu, Zhi Xiao, Shuyong Duan

“…Furthermore, the structural parameters of the X-shaped energy-absorbing structure including thickness (tu), side arc radius (R), and clamping boost beam thickness (tb) are analyzed using a full factorial method, and a multiobjective optimization is implemented regarding evaluation indexes of both pedestrian safety and low-speed impact. …”
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Ellipsoidal <i>K</i>-Means: An Automatic Clustering Approach for Non-Uniform Data Distributions by Alaa E. Abdel-Hakim, Abdel-Monem M. Ibrahim, Kheir Eddine Bouazza, Wael Deabes, Abdel-Rahman Hedar

“…This optimization is achieved using a newly-developed multiobjective simulated annealing approach. …”
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A review on planning and control of space robots for on-orbit capture by Qian SUN, Linshuo ZHENG, Yingmin JIA

“…The application of intelligent methods in multiobjective optimization and disturbance rejection control is also introduced in light of the rapid development of artificial intelligence. …”
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Finite Control Set Model Predictive Control for Complex Energy System with Large-Scale Wind Power by Yang-Wu Shen, Jin-Rong Yuan, Fei-Fan Shen, Jia-Zhu Xu, Chen-Kun Li, Ding Wang

“…In the voltage source converter-based high voltage direct current system, the traditional vector control strategy faces some challenges, such as difficulty in PI parameters tuning and multiobjective optimizations. …”
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Dual Strategy of Reconfiguration with Capacitor Placement for Improvement Reliability and Power Quality in Distribution System by Ali Nasser Hussain, Wathiq Rafa Abed, Mohanad Muneer Yaqoob

“…These scenarios were tested on typical 33 and 69 bus IEEE RDS using the binary salp swarm algorithm (BSSA) based on the multiobjective functions (MOFs), in order to identify the most effective scenario performance that achieved the highest power quality and system reliability. …”
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Prioritized Multi-task Motion Coordination of Physically Constrained Quadruped Manipulators by Aizhen Xie, Xuewen Rong, Guoteng Zhang, Yibin Li, Yong Fan, Zhi Li, Teng Chen

“…The framework can adaptively generate optimal motion for different parts of the robot considering 3 prioritized tasks. …”
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Performance evaluation of different building envelopes integrated with phase change materials in tropical climates by Rolains Golchimard Elenga, Li Zhu, Steivan Defilla

“…To achieve this goal, a multiobjective genetic algorithm is used in conjunction with EnergyPlus building energy models to determine the optimal balance between total building energy consumption, lifecycle cost, and CO2 emissions. …”
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Single and multi-objective real-time optimisation of an industrial injection moulding process via a Bayesian adaptive design of experiment approach by Mandana Kariminejad, David Tormey, Caitríona Ryan, Christopher O’Hara, Albert Weinert, Marion McAfee

“…ADoE achieved almost a 50 $$\%$$ reduction in the number of experiments required for the single optimisation of $$\Delta T$$ , and an almost 30 $$\%$$ decrease for the optimisation of $$\Delta T$$ and cycle time together compared to composite desirability function and NSGA-II. The optimal settings identified by ADoE for multiobjective optimisation were similar to the selected Pareto optimal solution found by NSGA-II.…”
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Algoritmo genético permutacional para el despliegue y la planificación de sistemas de tiempo real distribuidos by Ekain Azketa, J. Javier Gutiérrez, Marco Di Natale, Luís Almeida, Marga Marcos

“…In this paper we propose a multi-objective genetic algorithm based on a permutational solution encoding for the deployment and scheduling of distributed real-time systems. …”
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Collision Probability Evaluation of LAMOST Robotic Fiber Positioners in the Design Phase by Baolong Chen, Jianping Wang, Jiahao Zhou, Zhigang Liu, Hongzhuan Hu, Zengxiang Zhou, Feifan Zhang

“…During collision probability calculation, we consider factors such as RFP structure, target allocation, motion requirements, and mechanical errors into consideration. Based on this, we employ the genetic algorithm to optimize RFP arrangements with the lowest collision probability and show its function in the design phase. …”
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Enhanced Grounding DINO: Efficient Cross-Modality Block for Open-Set Object Detection in Remote Sensing by Zibo Hu, Kun Gao, Jingyi Wang, Zhijia Yang, Zefeng Zhang, Haobo Cheng, Wei Li

“…Most existing open-set detectors are developed based on candidate category detectors by introducing text information. …”
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