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Foundational Models & Architectures
An Adaptive Differential Evolution Algorithm for Solving Second-order Dirichlet Problems
Abstract
A new adaptive Differential Evolution (DE) algorithm for finding a pproximate to the solutions of second-order Dirichlet problems is presented. The proposed adaptive algorithm reflected a variation of the finite difference scheme in the perspective that each of the derivatives are approximated by forward, backward, and central differences’ quotients. The major advantage of the novel adaptive algorithm over other numerical methods; it has no limitations on the nature of the problem, type of classification, and the number of mesh points. A test cases that include different classes and types of Dirichlet problems to demonstrate the efficiency and simplicity of the algorithm are presented. The numerical results obtained show strong agreement with exact solutions, and demonstrate reliability and great accuracy of the method.
Keywords
Algorithm
Artificial Intelligence
Numerical Optimization
Differential Evolution
Dirichlet Problems
Declarations & Ethics
Funding:
This research received academic dissemination support through ESCAP / JournalsHub publishing programs.
Conflicts of Interest:
The authors declare no competing financial or institutional interests.
Peer Review:
Double-blind peer reviewed by international subject specialists.
License:
Creative Commons Attribution 4.0 International (CC BY 4.0).
How to Cite This Article
APA / MLA / BibTeX
Rashaideh, et al. (2017). An Adaptive Differential Evolution Algorithm for Solving Second-order Dirichlet Problems. IADIS International Journal on Computer Science and Information Systems, 12(1). https://doi.org/10.33965/ijcsis_2017_v12i1_11
Rashaideh, et al. "An Adaptive Differential Evolution Algorithm for Solving Second-order Dirichlet Problems." IADIS International Journal on Computer Science and Information Systems, vol. 12, no. 1, 2017. https://doi.org/10.33965/ijcsis_2017_v12i1_11
Rashaideh, et al. "An Adaptive Differential Evolution Algorithm for Solving Second-order Dirichlet Problems." IADIS International Journal on Computer Science and Information Systems 12, no. 1 (2017). https://doi.org/10.33965/ijcsis_2017_v12i1_11