The experimental results indicate that the current algorithms perform poorly on this new benchmark test set. Furthermore, we develop a transformation method.
Sep 20, 2021 · A general toolkit is proposed to generate artificial test problems and 18 test instances with diverse characteristics are constructed in this article.
The experimental results indicate that the current algorithms perform poorly on this new benchmark test set. Furthermore, we develop a transformation method ...
Oct 22, 2024 · During the past two decades, many evolutionary algorithms have been proposed to solve nonlinear equation systems (NESs).
Mar 15, 2024 · In this paper, we develop a novel NES-solving algorithm based on evolutionary multitasking referred to as EMNES, the goal of which is to effectively find the ...
An evolutionary computational technique is used to handle the nonlinear system of equations by converting it into a multi-objective optimization problem. A new ...
Mar 30, 2022 · To evaluate the performance of our approach, 30 NESs test problems and 18 test instances with different features are selected as the test suite.
Oct 22, 2024 · This paper proposes a new perspective for solving systems of complex nonlinear equations by simply viewing them as a multiobjective ...
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An evolutionary multitasking NES optimization framework called MTNES, is proposed for the first time in this paper for solving multiple NESs simultaneously.
Aug 17, 2022 · Solving a new test set of nonlinear equation systems by evolutionary algorithm. IEEE Transactions on Cybernetics, pages 1–10, 2021. [51] ...