A proximal bundle-based algorithm for nonsmooth constrained multiobjective optimization problems with inexact data
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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.… read more here.
Keywords: proximal; proximal bundle; bundle based; multiobjective optimization ... See more keywords
Balancing Constraints and Objectives by Considering Problem Types in Constrained Multiobjective Optimization.
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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… read more here.
Keywords: constraints objectives; problem; constrained multiobjective; problem types ... See more keywords
An Evolutionary Algorithm With Constraint Relaxation Strategy for Highly Constrained Multiobjective Optimization
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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… read more here.
Keywords: multiobjective optimization; evolutionary algorithm; highly constrained; constrained multiobjective ... See more keywords
Utilizing the Relationship Between Unconstrained and Constrained Pareto Fronts for Constrained Multiobjective Optimization.
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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… read more here.
Keywords: relationship; multiobjective optimization; constrained pareto; constrained multiobjective ... See more keywords