Parallel genetic algorithm with parameter adaptation

  title={Parallel genetic algorithm with parameter adaptation},
  author={Shisanu Tongchim and Prabhas Chongstitvatana},
  journal={Inf. Process. Lett.},
This paper presents an adaptive algorithm that can adjust parameters of genetic algorithm according to the observed performance. The parameter adaptation occurs in parallel to the running of genetic algorithm. The proposed method is compared with the algorithms that use random parameter sets and a standard parameter set. The experimental results show that the proposed method offers two advantages over the other competing methods: the reliability in finding the optimal solution and the time… CONTINUE READING
Highly Cited
This paper has 47 citations. REVIEW CITATIONS

From This Paper

Figures, tables, and topics from this paper.


Publications citing this paper.
Showing 1-10 of 30 extracted citations

Self-adaptation of parameters in a learning classifier system ensemble machine

Applied Mathematics and Computer Science • 2010
View 4 Excerpts
Highly Influenced

Self-adaptive parameters in genetic algorithms

Data Mining and Knowledge Discovery: Theory, Tools, and Technology • 2004
View 4 Excerpts
Highly Influenced

A routing optimization algorithm of optical network based on static service

2016 12th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD) • 2016


Publications referenced by this paper.
Showing 1-10 of 25 references

Competitive Evolution: A Natural Approach to Operator Selection

Evo Workshops • 1994
View 6 Excerpts
Highly Influenced

An analysis of the behavior of a class of genetic adaptive systems

K. A. De Jong
PhD thesis, • 1975
View 4 Excerpts
Highly Influenced

The parameter-less genetic algorithm: Rational and automated parameter selection for simplified genetic algorithm operation

F. G. Lobo
PhD thesis, • 2000
View 4 Excerpts
Highly Influenced

A parameter-less genetic algorithm

View 4 Excerpts
Highly Influenced

Gradual distributed real-coded genetic algorithms

IEEE Trans. Evolutionary Computation • 2000
View 1 Excerpt

Parameter Control in Evolutionary Algorithms

Parameter Setting in Evolutionary Algorithms • 1999
View 1 Excerpt

Co-Operating Populations with Different Evolution Behaviours

International Conference on Evolutionary Computation • 1996
View 1 Excerpt

Similar Papers

Loading similar papers…