NUMERICAL OPTIMIZATION ALGORITHM BASED ON GENETIC ALGORITHM FOR A DATA COMPLETION PROBLEM

This work presents numerical optimization algorithm based on genetic algorithm to solve the data completion problem for Laplace's equation. It consists of covering the missing data on the inaccessible part of the boundary from measurements on the accessible part. This problem is known to be sev...

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Bibliographic Details
Published in:	TWMS journal of applied and engineering mathematics Vol. 13; no. 1; p. 86
Main Authors:	Jouilik, B, Daoudi, J, Tajani, C, Abouchabaka, J
Format:	Journal Article
Language:	English
Published:	Istanbul Turkic World Mathematical Society 01.01.2023 Elman Hasanoglu
Subjects:	Algorithms Boundary conditions Cauchy problems Chromosomes Finite element analysis Genetic algorithms Heuristic methods Inverse problems Laplace equation Mathematical optimization Mathematics Missing data Mutation Optimization Optimization algorithms Regularization Regularization methods Morocco
ISSN:	2146-1147, 2146-1147
Online Access:	Get full text
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