Error bounds estimate of weighted residuals method using genetic algorithms

Cha'o Kuang Chen, Jin Mu Lin, Chieh Li Chen

Research output: Contribution to journalArticlepeer-review

12 Citations (Scopus)


An error bounds estimate procedure to solve the boundary value problem of differential equations is presented in this paper. A good approximate solution and error bounds can be obtained by the proposed approach which combines the method of weighted residuals (MWR) with genetic algorithms (GAs). A nonlinear boundary value problem is studied as an example. The efficiency, accuracy, and simplicity of this approach are illustrated. It shows that the proposed method can be easily extended to solve a wide range of physical engineering problems.

Original languageEnglish
Pages (from-to)207-219
Number of pages13
JournalApplied Mathematics and Computation
Issue number2-3
Publication statusPublished - 1997

All Science Journal Classification (ASJC) codes

  • Computational Mathematics
  • Applied Mathematics


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