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A Stable Large-Scale Multiobjective Optimization Algorithm with Two Alternative Optimization Methods [PDF]
Entropy, 2023 For large-scale multiobjective evolutionary algorithms based on the grouping of decision variables, the challenge is to design a stable grouping strategy to balance convergence and population diversity.
Tianyu Liu, Junjie Zhu, Lei Cao
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A tree-structured multiobjective optimization framework for constructing diagnosis-related groups [PDF]
npj Digital MedicineThe effectiveness of diagnosis-related groups (DRG) system is pivotal to the implementation of medical insurance payment standards. However, existing methods for constructing DRGs face challenges such as violations of grouping rules and imbalances in ...
Gaocheng Cai +5 more
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Real operational data for the concrete delivery problem
Data in Brief, 2023 The data article describes a real operational dataset for the Concrete Delivery Problem (CDP). The dataset consists of 263 instances corresponding to daily orders of concrete from construction sites in Quebec, Canada.
Alexandros Tzanetos, Maude Blondin
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Overview of multiobjective particle swarm optimization algorithm
工程科学学报, 2021 In the real world, the development model of optimization problems tends to be diversified and large scale. Therefore, optimization technologies are facing severe challenges in terms of nonlinearity, multi-dimensionality, intelligence, and dynamic ...
Qian FENG +3 more
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A Coevolutionary Framework for Constrained Multiobjective Optimization Problems
IEEE Transactions on Evolutionary Computation, 2021 Constrained multiobjective optimization problems (CMOPs) are challenging because of the difficulty in handling both multiple objectives and constraints. While some evolutionary algorithms have demonstrated high performance on most CMOPs, they exhibit bad
Ye Tian +4 more
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A Survey on Evolutionary Constrained Multiobjective Optimization
IEEE Transactions on Evolutionary Computation, 2023 Handling constrained multiobjective optimization problems (CMOPs) is extremely challenging, since multiple conflicting objectives subject to various constraints require to be simultaneously optimized.
Jing J. Liang +7 more
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Multiobjective Topology Optimization of Spatial-Structure Joints
Advances in Civil Engineering, 2021 To realize the static and dynamic multiobjective topology optimization of joints in spatial structures, structural topology optimization is carried out to maximize the stiffness under static multiload conditions and maximize the first third-order dynamic
Nanhai Zhu, Jinlei Liu
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IDOL: A web application for mixed integer linear multiobjective optimization
SoftwareX, 2022 Practical decision-making very often results in complex multiobjective optimization problems that can be solved only by advanced software. At present, it is available for singleobjective optimization and much less for multiobjective optimization ...
Ignacy Kaliszewski, Olga Karelkina
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Interactivized: Visual Interaction for Better Decisions With Interactive Multiobjective Optimization
IEEE Access, 2022 In today’s data-driven world, decision makers are facing many conflicting objectives. Since there is usually no solution that optimizes all objectives simultaneously, the aim is to identify a solution with acceptable trade-offs.
Jussi Hakanen +5 more
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