New evolutionary algorithm based on mathematical model of evolution of a species

Celso De La Cruz, Héctor D. Patiño, Ricardo Carelli

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

This work presents an approach to the abstract mathematical analysis of the evolution of a species. A mathematical model is proposed as well that characterizes the natural evolution phenomena of a species. On the basis of this model, the convergence of a new computational evolutionary algorithm is developed and proven, that is applied to minimizing (or maximizing) a costs function that meets certain requirements. Simulation studies are carried out in order to validate the theoretical aspects and to evaluate the performance of the evolutionary algorithm.

Original languageEnglish
Title of host publication2006 IEEE Congress on Evolutionary Computation, CEC 2006
Pages1483-1490
Number of pages8
StatePublished - 2006
Externally publishedYes
Event2006 IEEE Congress on Evolutionary Computation, CEC 2006 - Vancouver, BC, Canada
Duration: 16 Jul 200621 Jul 2006

Publication series

Name2006 IEEE Congress on Evolutionary Computation, CEC 2006

Conference

Conference2006 IEEE Congress on Evolutionary Computation, CEC 2006
Country/TerritoryCanada
CityVancouver, BC
Period16/07/0621/07/06

Keywords

  • Evolutionary algorithms
  • Mobile robots
  • Nonlinear systems
  • Optimization methods

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