Multidimensional Differential Equations: Integration and Optimization through Matrix Based Algorithms DOI Creative Commons
Suhail K. Naik

Research Square (Research Square), Год журнала: 2024, Номер unknown

Опубликована: Ноя. 7, 2024

Abstract In this paper, we present the development of a novel algorithms employing matrix-based methods for integration dependent and independent first order multidimensional functions. Conventional often face limitations when dealing with complexity computational demands such high-dimensional problems. Our approach leverages advanced matrix techniques to efficiently manage solve these intricate equations, significantly reducing execution time providing robust framework wide range applications in science, technology, data science. Building on foundational work, introduce pioneering branching method optimization. This utilizes structural advantages operations navigate solution space effectively, enabling optimization complicated systems dependencies. The offers significant improvements both speed accuracy over conventional techniques, making it particularly suitable large-scale problems encountered fields as

Язык: Английский

Management science in the age of the internet and digital revolution DOI
Rameshwar Dubey, Pierre‐Luc Fournier, Daniel Jugend

и другие.

Annals of Operations Research, Год журнала: 2025, Номер unknown

Опубликована: Апрель 17, 2025

Язык: Английский

Процитировано

0
Fault Diagnosis of Wind Turbine Component Based on an Improved Dung Beetle Optimization Algorithm to Optimize Support Vector Machine DOI Open Access
Qiang Li, Ming Li, Chao Fu

и другие.

Electronics, Год журнала: 2024, Номер 13(18), С. 3621 - 3621

Опубликована: Сен. 12, 2024

Due to high probability of blade faults, bearing sensor and communication faults in pitch systems during the long-term operation wind turbine components, complex environment which increases uncertainty fault types, this paper proposes a diagnosis method for components based on an Improved Dung Beetle Optimization (IDBO) algorithm optimize Support Vector Machine (SVM). Firstly, Halton sequence is initially employed populate population, effectively mitigating issue local optima. Secondly, subtraction averaging optimization strategy introduced accelerate dung beetle solving problems improve its global ability. Finally, incorporating smooth development variation helps data quality accuracy model. The experimental results indicate that IDBO-optimized SVM (IDBO-SVM) achieves 96.7% rate components. With proposed IDBO-SVM method, more accurate stable, practical application excellent.

Язык: Английский

Процитировано

1
Multidimensional Differential Equations: Integration and Optimization through Matrix Based Algorithms DOI Creative Commons
Suhail K. Naik

Research Square (Research Square), Год журнала: 2024, Номер unknown

Опубликована: Ноя. 7, 2024

Abstract In this paper, we present the development of a novel algorithms employing matrix-based methods for integration dependent and independent first order multidimensional functions. Conventional often face limitations when dealing with complexity computational demands such high-dimensional problems. Our approach leverages advanced matrix techniques to efficiently manage solve these intricate equations, significantly reducing execution time providing robust framework wide range applications in science, technology, data science. Building on foundational work, introduce pioneering branching method optimization. This utilizes structural advantages operations navigate solution space effectively, enabling optimization complicated systems dependencies. The offers significant improvements both speed accuracy over conventional techniques, making it particularly suitable large-scale problems encountered fields as

Язык: Английский

Процитировано

0