Showing 1 - 20 results of 517 for search '(constrained OR constraints) multi-objective optimization', query time: 0.16s Refine Results
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    A Preference Model-Based Surrogate-Assisted Constrained Multi-Objective Evolutionary Algorithm for Expensively Constrained Multi-Objective Problems by Yu Sun, Yifan Ma, Bei Hua

    Published 2025-04-01
    “…In the context of expensive constraint multi-objective problems, it is evident that the feasible domain shapes and sizes of different problems vary considerably. …”
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    Optimizing the Geometric Structure of a Thermoelectric Cooler with Multi-objective Constraint by Zhang Xiaobo, Xu Xiangguo

    Published 2018-01-01
    “…Based on the analyses, in addition to the constraints of the cooling capacity, the COP, and cold end temperature on the selection of the geometry parameters considered, a novel design diagram was developed for choosing the best geometric structure of thermoelectric coolers with a multi-objective constraint. …”
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    A Novel Genetic Algorithm for Constrained Multimodal Multi-Objective Optimization Problems by Da Feng, Jianchang Liu

    Published 2025-06-01
    Subjects: “…constrained multimodal multi-objective optimization problem…”
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    Research on constrained policy reinforcement learning based multi-objective optimization of computing power network by Linjiang SHEN, Chang CAO, Chao CUI, Yan ZHANG

    Published 2023-08-01
    “…The computing power network needs to maximize the system performance index on the basis of meeting user business needs, and the existing methods are mainly based on the multi-objective weighting method, which has problems such as difficult to determine hyperparameters and poor cross-scenario applicability.Based on this, based on the analysis of the characteristics of the computing power network target, the user business requirements were taken as the policy constraints, and the performance indicators of the computing power network was taken as the optimization goal based on constrained policy optimization, and the expectation certainty of user business needs and the optimization of system performance through the value-strategy-hyper-parameter multi-level iterative strategy was realized.At the same time, the multi-scale step length (MSL) method for hyper-parameter optimization was studied, which further improved the stability and accuracy of the system.Simulation results show that the proposed method has good convergence and stability under the conditions of single terminal-single edge server, multi-terminal-multi-edge server and system load change.…”
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    A Hybrid Optimization Algorithm for a Multi-Objective Aircraft Loading Problem With Complex Constraints by Boliang Zhang, Yu Yao, H. Y. Kan, Mei-Pou Chan, Chan-Tong Lam, Sio-Kei Im

    Published 2025-01-01
    “…Existing solutions are monolithic and cannot optimize multiple performance simultaneously. In this paper, we propose a Hybrid Optimization Algorithm for Multi-objective Problems with Complex Constraints (HybridMOCC) to solve the aircraft loading problem. …”
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    A DDQN-Guided Dual-Population Evolutionary Multitasking Framework for Constrained Multi-Objective Ship Berthing by Jinyou Mou, Qidan Zhu

    Published 2025-05-01
    “…Simulations on the CSAD vessel model demonstrate that this framework outperforms baseline algorithms such as evolutionary multitasking constrained multi-objective optimization (EMCMO), DQN, Q-learning, and non-dominated sorting genetic algorithm II (NSGA-II), achieving superior efficiency and stability while maintaining the required berthing angle. …”
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    Multi-Objective Optimization of Urban Gas Station Site Selection Under Territorial Spatial Planning Constraints by Jie Zhu, Mengyao Zhu, Li Chen, Li Luo, Weihua Wang, Xueming Zhu, Yizhong Sun

    Published 2024-10-01
    “…A multi-objective optimization model employing genetic algorithms was utilized to maximize fuel demand coverage, minimize inter-station redundancy, and achieve optimal site coverage. …”
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    Multi-Objective Optimization Method for High-Efficiency and Low-Consumption Wire Rope Greasing Process by Fan Zhou, Yuemin Wang, Ruqing Gong, Binghui Tang

    Published 2025-03-01
    “…Considering the actual constraints of greasing equipment performance and greasing quality, a multi-objective optimization model is developed with greasing speed, greasing thickness, grease flow rate, and greasing time as the optimization parameters. …”
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