In this paper, a new non-redundant objective set generation algorithm is proposed. To do so, first, a multi-objective evolutionary algorithm based decomposition ...
Abstract—Among the many-objective optimization problems, there exists a kind of problem with redundant objectives, it is.
Many-Objective Optimization refers to the process of optimizing problems with a large number of objectives, typically ranging from four to tens.
Since most EMO algorithms emphasize non-dominated solutions in a population, in handling many-objective problems, there is not much room for creating new.
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The new algorithm based on L-optimality is developed, and simulation and comparative results indicate that well-distributed L-optimal solutions can be ...
In this paper, we propose an efficient indicator-based MaOEA with few parameters, SDE -MOEA, that uses an adaptive combination of commonly used selection ...
TL;DR: This paper introduces a non-dominated set construction algorithm based on Two Dimensional Sequence (TSNS), which performs better than NSGA-II in terms of ...
Oct 22, 2024 · A fast nonredundant objectives generation algorithm is proposed to reduce the number of redundant objectives.
A Novel Objective Grouping Evolutionary Algorithm for Many-Objective Optimization Problems · Computer Science, Engineering. International journal of pattern ...
Based on these, a fast non-redundant objectives generation algorithm is proposed in this paper. Finally, the experiments are conducted on a set of benchmark ...
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