May 13, 2022 · This article proposes a new multitasking-constrained multiobjective optimization (MTCMO) framework, in which a dynamic auxiliary task is created to assist in ...
In light of this situation, this paper proposes a new multitasking constrained multi-objective optimization framework. (MTCMO), in which a dynamic auxiliary ...
This article proposes a new multitasking-constrained multiobjective optimization (MTCMO) framework, in which a dynamic auxiliary task is created to assist in ...
In this paper, a novel dynamic-multi-task-assisted constrained multi-objective optimization algorithm, termed DTCMO, is proposed, and three dynamic tasks are ...
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Liang et al. [paper]. 10. Dynamic Auxiliary Task-Based Evolutionary Multitasking for Constrained Multi-objective Optimization, TEVC, 2022, Qiao et al. [paper].
This work presents a general multitasking framework comprising a main task for the original CMOP and an arbitrary number of auxiliary tasks based on different ...
Jun 17, 2024 · To be specific, a CMOP is transformed into a multitasking optimization problem, where multiple auxiliary tasks are created to search for the ...
Jul 4, 2024 · This article aims to facilitate a more thorough comprehension of evolutionary constrained multi-objective optimization among researchers.
A dual-population evolutionary algorithm based on dynamic constraint processing and resources allocation for constrained multi-objective optimization problems.
In large-scale multiobjective optimization, too many decision variables hinder the convergence search of evolutionary algorithms. Reducing the search range of ...