Topological search and gradient descent boosted Runge–Kutta optimiser with application to engineering design and feature selection

Topological search and gradient descent boosted Runge–Kutta optimiser with application to engineering design and feature selection

Abstract The Runge–Kutta optimiser (RUN) algorithm, renowned for its powerful optimisation capabilities, faces challenges in dealing with increasing complexity in real‐world problems. Specifically, it shows deficiencies in terms of limited local exploration capabilities and less precise solutions. T...

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Bibliographic Details
Main Authors: Jinge Shi, Yi Chen, Ali Asghar Heidari, Zhennao Cai, Huiling Chen, Guoxi Liang
Format: Article
Language:English
Published: Wiley 2025-04-01
Series:CAAI Transactions on Intelligence Technology
Subjects:
engineering design
gradient search rule
metaheuristic algorithm
Runge–Kutta optimizer
topological search
Online Access:https://doi.org/10.1049/cit2.12387
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https://doi.org/10.1049/cit2.12387

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