We propose an optimization model as well as an evolutionary algorithm based on the SPEA2 Algorithm, to select the best cooperation technique over the download ...
We propose an optimization model as well as an evolutionary algorithm based on the SPEA2 Algorithm, to select the best cooperation technique over the download ...
In this paper, two evolutionary algorithms, NSGA-II and NRGA, are applied to combine the improvement of makespan and stability simultaneously. A simulation ...
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In this paper, a many-objective optimization algorithm based on staged coordination selection, which consists of the convergence and diversity stages, is ...
Apr 27, 2022 · Multi-objective optimization problems (MOPs) contain two or more conflicting objectives that need to be optimized simultaneously. MOPs with more ...
To tackle these challenges, a multimodal multi-objective evolutionary algorithm with two-stage double indicator selection strategy (MMEA-TDI) is developed.
This paper introduces an approach advocating for feature subset selection to maximize prediction accuracy and minimize computational time across diverse SSC ...
This algorithm integrates quantitative analysis methods for decision variables to deeply examine their impact on each objective and introduces a contribution- ...
A many-objective evolutionary algorithm based on three states for ...
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Aug 19, 2024 · The goal of the many-objective optimization technology is to find a set of non-dominated solutions that are close to the real PF (convergence) ...
Our experimental results demonstrate that the proposed algorithm is versatile for solving problems with various types of Pareto fronts, outperforming several ...