Trading accuracy for simplicity in evolutionary algorithms

Maria Cristina Riff, Elizabeth Montero

Resultado de la investigación: Contribución a los tipos de informe/libroContribución a la conferencia

Resumen

Many evolutionary algorithms efficient to solve a wide range of problems have been proposed and validated in the literature. We call the problem addressed in this paper 'the problem of refining the design'. Given an evolutionary algorithm that includes many operators, we would like to assess if all of the latter are really relevant to accomplish the former's performance. In this paper, we present a framework to evaluate an evolutionary algorithm that has already been designed. The goal of this evaluation is to study the choices that we have to simplify the code in respect to its results accuracy. The results show that an efficient tuner can assist us in this task by obtaining information that help design decisions.

Idioma originalInglés
Título de la publicación alojada2013 IEEE Congress on Evolutionary Computation, CEC 2013
Páginas3125-3131
Número de páginas7
DOI
EstadoPublicada - 21 ago 2013
Evento2013 IEEE Congress on Evolutionary Computation, CEC 2013 - Cancun, México
Duración: 20 jun 201323 jun 2013

Conferencia

Conferencia2013 IEEE Congress on Evolutionary Computation, CEC 2013
PaísMéxico
CiudadCancun
Período20/06/1323/06/13

Áreas temáticas de ASJC Scopus

  • Teoría computacional y matemáticas
  • Ciencia computacional teórica

Huella Profundice en los temas de investigación de 'Trading accuracy for simplicity in evolutionary algorithms'. En conjunto forman una huella única.

  • Citar esto

    Riff, M. C., & Montero, E. (2013). Trading accuracy for simplicity in evolutionary algorithms. En 2013 IEEE Congress on Evolutionary Computation, CEC 2013 (pp. 3125-3131). [6557951] https://doi.org/10.1109/CEC.2013.6557951