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Optimal Parameter Investigation for Finding Programs of the Limited Expressions Based on Genetic Algorithms

  • Journal of Knowledge Information Technology and Systems
  • Abbr : JKITS
  • 2010, 5(2), pp.69-76
  • Publisher : Korea Knowledge Information Technology Society
  • Research Area : Interdisciplinary Studies > Interdisciplinary Research
  • Published : April 30, 2010

HWANG SU CHEOL 1 Cho, Sang Yeop 2

1인하공업전문대학
2청운대학교

Candidate

ABSTRACT

In order to solve the optimal problems with genetic algorithms, the parameters such as the ratio of the crossover and mutation give an impact to the problem solving systems. This paper proposes the method of investigating the best crossover and mutation parameters in the problem of finding the program of virtual machine that can be calculated them, given the limited expressions. In experiment, we apply the ten combinations of parameters to the seven categories of the expressions and compare the average generations until finding solutions. The result show that the forth case of combination of parameters is the best solution.

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