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A factor graph based genetic algorithm

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Hoda Helmi B., Rahmani A., Pelikan M.

International Journal of Applied Mathematics and Computer Science

2014

tom 24

nr 3

621-633

We propose a new linkage learning genetic algorithm called the Factor Graph based Genetic Algorithm (FGGA). In the FGGA, a factor graph is used to encode the underlying dependencies between variables of the problem. In order to learn the factor graph from a population of potential solutions, a symmetric non-negative matrix factorization is employed to factorize the matrix of pair-wise dependencies. To show the performance of the FGGA, encouraging experimental results on different separable problems are provided as support for the mathematical analysis of the approach. The experiments show that FGGA is capable of learning linkages and solving the optimization problems in polynomial time with a polynomial number of evaluations.

Ograniczanie wyników

1 International Journal of Applied Mathematics and Computer Science

1 Hoda Helmi B.

1 Pelikan M.

1 Rahmani A.

1 2014

Wyniki wyszukiwania

A factor graph based genetic algorithm