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Published in 2025 at "steel research international"
DOI: 10.1002/srin.202500923
Abstract: This research proposes a constraint multiobjective optimization algorithm that combines the auxiliary task method with the strength Pareto evolutionary algorithm 2 (ATMāSPEA2). The algorithm is designed to optimize the heating process in the continuous annealing…
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Keywords:
constrained multiobjective;
algorithm;
strength pareto;
multiobjective optimization ... See more keywords
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Published in 2021 at "Numerical Algorithms"
DOI: 10.1007/s11075-021-01128-3
Abstract: In this paper, a proximal bundle-based method for solving nonsmooth nonconvex constrained multiobjective optimization problems with inexact information is proposed and analyzed. In this method, each objective function is treated individually without employing any scalarization.…
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Keywords:
proximal;
proximal bundle;
bundle based;
multiobjective optimization ... See more keywords
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Published in 2021 at "IEEE transactions on cybernetics"
DOI: 10.1109/tcyb.2021.3089633
Abstract: Constrained multiobjective optimization problems widely exist in real-world applications. To handle them, the balance between constraints and objectives is crucial, but remains challenging due to non-negligible impacts of problem types. In our context, the problem…
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Keywords:
constraints objectives;
problem;
constrained multiobjective;
problem types ... See more keywords
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Published in 2022 at "IEEE Transactions on Cybernetics"
DOI: 10.1109/tcyb.2022.3151974
Abstract: Highly constrained multiobjective optimization problems (HCMOPs) refer to constrained multiobjective optimization problems (CMOPs) with complex constraints and small feasible regions, which are commonly encountered in many real-world applications. Current constraint-handling techniques will face two difficulties…
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Keywords:
multiobjective optimization;
evolutionary algorithm;
highly constrained;
constrained multiobjective ... See more keywords
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Published in 2022 at "IEEE transactions on cybernetics"
DOI: 10.1109/tcyb.2022.3163759
Abstract: Constrained multiobjective optimization problems (CMOPs) involve multiple objectives to be optimized and various constraints to be satisfied, which challenges the evolutionary algorithms in balancing the objectives and constraints. This article attempts to explore and utilize…
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Keywords:
relationship;
multiobjective optimization;
constrained pareto;
constrained multiobjective ... See more keywords
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Published in 2025 at "IEEE Transactions on Cybernetics"
DOI: 10.1109/tcyb.2025.3603251
Abstract: Learning to optimize and automated algorithm design are attracting increasing attention, but it is still in its infancy in constrained multiobjective optimization evolutionary algorithms (CMOEAs). Current learning-assisted CMOEAs are typically crafted by human experts using…
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Keywords:
constrained multiobjective;
configuration;
evolutionary algorithms;
learning ... See more keywords
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Published in 2024 at "Mathematics"
DOI: 10.3390/math12243926
Abstract: Clustering islands located close to each other and sharing some common characteristics offer diverse and unique opportunities for tourism, trade, and research, and especially take a crucial part in the military. Remote from inland, islands…
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Keywords:
multimodal transport;
constrained multiobjective;
energy;
among clustering ... See more keywords