article · Greater South Information System · 2012

Performance of Simple Genetic Algorithm Inserting Forced Inheritance Mechanism and Parameters Relaxation

Esther Lugo-Gonzlez, Emmanuel Aguilar, Henrique Luís, R. Ponce-Reynoso, Christopher René Torres‐SanMiguel, Javier Ramrez-Gordillo

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Abstract

Genetic Algorithms are a search paradigm that applies principles of evolutionary biology (crossover, mutation, natural selection) in order to deal with intractable search spaces. The power and success of GA are mostly achieved by the diversity with the individuals of a population which evolve, in parallel, following the principle of the survival of the fittest. In general, the genetic algorithms resolve combinatorial optimization problems that in (Goldberg, 1989) are mentioned, this implies a large number of responses associated with an exponential growth in solutions potentially feasible according to the magnitude of the problem. In a standard GA the diversity of the individuals is obtained and maintained using the genetic operators crossover and mutation which allow the GA to find feasible solutions and avoid premature convergence to a local maximum (Holland, 1975).

Cite this paper

APA 7

Lugo-Gonzlez, E., Aguilar, E., Luís, H., Ponce-Reynoso, R., Torres‐SanMiguel, C. R., & Ramrez-Gordillo, J. (2012). Performance of Simple Genetic Algorithm Inserting Forced Inheritance Mechanism and Parameters Relaxation. Greater South Information System. https://doi.org/10.60692/yc7xk-8p821

MLA 9

Lugo-Gonzlez, Esther, et al. “Performance of Simple Genetic Algorithm Inserting Forced Inheritance Mechanism and Parameters Relaxation.” Greater South Information System, 2012, https://doi.org/10.60692/yc7xk-8p821.

Chicago

Lugo-Gonzlez, Esther, Emmanuel Aguilar, Henrique Luís, R. Ponce-Reynoso, Christopher René Torres‐SanMiguel, and Javier Ramrez-Gordillo. 2012. “Performance of Simple Genetic Algorithm Inserting Forced Inheritance Mechanism and Parameters Relaxation.” Greater South Information System. https://doi.org/10.60692/yc7xk-8p821.

Harvard

Lugo-Gonzlez, E. et al. (2012) ‘Performance of Simple Genetic Algorithm Inserting Forced Inheritance Mechanism and Parameters Relaxation’, Greater South Information System. Available at: https://doi.org/10.60692/yc7xk-8p821.

BibTeX

@article{lugogonzlez2012performance,
  title = {{Performance of Simple Genetic Algorithm Inserting Forced Inheritance Mechanism and Parameters Relaxation}},
  author = {Lugo-Gonzlez, Esther and Aguilar, Emmanuel and Luís, Henrique and Ponce-Reynoso, R. and Torres‐SanMiguel, Christopher René and Ramrez-Gordillo, Javier},
  journal = {Greater South Information System},
  year = {2012},
  doi = {10.60692/yc7xk-8p821}
}

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