Genetic algorithm in time series fatigue analysis

Azami Zaharim, Shahrum, Abdullah, Mohammad Darahim Ibrahim, Zulkifli Mohd Nopiah

Research output: Contribution to journalArticle

2 Citations (Scopus)

Abstract

This paper is described the analysis of fatigue road loading using the genetic algorithm approaches. This approach is based on a partitional clustering. A new method for temporal pattern matching of a time series is developed using pattern wavelets and genetic algorithms. This method is used to clustering the data into a sequence of a nested partition. Fatigue damage cumulating is a random variable in essence. It is caused by variable amplitude loading. The randomness comes from the loading process and fatigue resistance of material. This modulation is developed as a mathematical method that can be implemented directly into existing evolutionary algorithms without writing special operators and changing the program loop. This article is presented in order to solve some theoretical and practical issues in evolutionary algorithms like numerical bounded variables, dynamic focalized search, dynamic control of diversity and feasible region analysis.

Original languageEnglish
Pages (from-to)68-75
Number of pages8
JournalEuropean Journal of Scientific Research
Volume28
Issue number1
Publication statusPublished - 2009

Fingerprint

fatigue
genetic algorithm
Fatigue
Time series
time series analysis
Genetic algorithms
Genetic Algorithm
Fatigue of materials
time series
Evolutionary algorithms
Evolutionary Algorithms
Clustering
Cluster Analysis
Fatigue Damage
Feasible region
Pattern matching
Dynamic Control
Fatigue damage
Pattern Matching
Random variables

Keywords

  • Clustering
  • Dynamic control
  • Fatigue damage
  • Genetic algorithm
  • Numerical bounded
  • Variable amplitude loading

ASJC Scopus subject areas

  • General

Cite this

Genetic algorithm in time series fatigue analysis. / Zaharim, Azami; Shahrum; Abdullah; Ibrahim, Mohammad Darahim; Mohd Nopiah, Zulkifli.

In: European Journal of Scientific Research, Vol. 28, No. 1, 2009, p. 68-75.

Research output: Contribution to journalArticle

Zaharim, Azami ; Shahrum ; Abdullah ; Ibrahim, Mohammad Darahim ; Mohd Nopiah, Zulkifli. / Genetic algorithm in time series fatigue analysis. In: European Journal of Scientific Research. 2009 ; Vol. 28, No. 1. pp. 68-75.
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