Minimizing a function of order p using a genetic algorithm

Authors

  • Romulo Castillo Cárdenas Universidad Centroccidental Lisandro Alvarado, Venezuela
  • Adrian Rojas Universidad Nacional Experimental Rómulo Gallegos, Venezuela

Keywords:

Genetic algorithms, nonlinear programming, order value optimization

Abstract

 In this work we consider the problem OVO (order value optimization), where m given continuous functions f1; :::; fm, defined on a domain 2 Rn and an integer p 2 f1; :::;mg, the function of order p with p m, is given by f(x) = fip(x)(x), for all x 2 , where ip(x) is a function satisfying fi1(x)(x) fi2(x)(x) ::: fip(x)(x) ::: fim(x)(x): The problem we address is to minimize f with x 2 by a genetic algorithm that by its very nature has the advantage over existing continuous optimization methods, to find global minimizers. We illustrate the application of this algorithm on examples considered showing its efectiveness in solving them.

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Author Biographies

  • Romulo Castillo Cárdenas, Universidad Centroccidental Lisandro Alvarado, Venezuela

    Decanato de Ciencias y Tecnología, Departamento de Matemáticas

  • Adrian Rojas, Universidad Nacional Experimental Rómulo Gallegos, Venezuela

    Deparatmento de Matemáticas

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Published

2013-06-10

Issue

Section

Research Article

How to Cite

[1]
“Minimizing a function of order p using a genetic algorithm”, Publ.Cienc.Tecnol, vol. 7, no. 1, pp. 23–35, Jun. 2013, Accessed: Jul. 23, 2026. Available: https://revistas2.uclave.org/index.php/pcyt/article/view/732