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Feedback Tracking Constraint Relaxation Algorithm for Constrained Multi-Objective Optimization
Published 2025-02-01Subjects: “…constrained multi-objective optimization…”
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A Coevolutionary Algorithm Based on Constraints Decomposition for Constrained Multi-objective Optimization Problems
Published 2025-05-01Subjects: “…Constrained multi-objective optimization problems…”
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A Preference Model-Based Surrogate-Assisted Constrained Multi-Objective Evolutionary Algorithm for Expensively Constrained Multi-Objective Problems
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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A Multi-Objective Optimized Approach to Photovoltaic-Battery Systems Constrained by Transformer Capacity for Existing Buildings
Published 2025-06-01Subjects: Get full text
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A Pareto Front Transformation Model for Multi- Objective-Based Constrained Optimization
Published 2025-01-01Subjects: Get full text
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Optimizing the Geometric Structure of a Thermoelectric Cooler with Multi-objective Constraint
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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Dual-Population Cooperative Correlation Evolutionary Algorithm for Constrained Multi-Objective Optimization
Published 2025-04-01Subjects: “…constrained multi-objective optimization…”
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A Novel Genetic Algorithm for Constrained Multimodal Multi-Objective Optimization Problems
Published 2025-06-01Subjects: “…constrained multimodal multi-objective optimization problem…”
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A Constrained Multi-Objective Optimization Algorithm with a Population State Discrimination Model
Published 2025-02-01Subjects: “…constrained multi-objective optimization…”
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Coevolutionary Algorithm with Bayes Theorem for Constrained Multiobjective Optimization
Published 2025-04-01Subjects: Get full text
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Research on constrained policy reinforcement learning based multi-objective optimization of computing power network
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 constrained multi-objective algorithm for dynamic economic emission dispatch
Published 2025-08-01Subjects: Get full text
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Multi-period and multi-objective stock portfolio modeling considering cone constraints
Published 2025-03-01Subjects: Get full text
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A Hybrid Optimization Algorithm for a Multi-Objective Aircraft Loading Problem With Complex Constraints
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
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
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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Accelerating multi-objective optimization of concrete thin shell structures using graph-constrained GANs and NSGA-II
Published 2025-05-01Subjects: Get full text
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Multi-Objective Optimization Method for High-Efficiency and Low-Consumption Wire Rope Greasing Process
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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Optimizing Police Patrol Strategies in Real-World Scenarios: A Modified PPS-MOEA/D Approach for Constrained Multi-Objective Optimization
Published 2025-03-01Subjects: Get full text
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Construction Scheduling Optimization of Prefabricated Buildings Under Resource Constraints Based on an Improved Whale Optimization Algorithm
Published 2025-07-01Subjects: Get full text
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