Population Training Heuristics

  • Alexandre C. M. Oliveira
  • Luiz A. N. Lorena
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3448)

Abstract

This work describes a new way of employing problem-specific heuristics to improve evolutionary algorithms: the Population Training Heuristic (PTH). The PTH employs heuristics in fitness definition, guiding the population to settle down in search areas where the individuals can not be improved by such heuristics. Some new theoretical improvements not present in early algorithms are now introduced. An application for pattern sequencing problems is examined with new improved computational results. The method is also compared against other approaches, using benchmark instances taken from the literature.

Keywords

Hybrid evolutionary algorithms population training MOSP GMLP 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2005

Authors and Affiliations

  • Alexandre C. M. Oliveira
    • 1
  • Luiz A. N. Lorena
    • 2
  1. 1.Depto. de InformáticaUniversidade Federal do Maranhão – UFMAS. LuísBrasil
  2. 2.Lab. Associado de Computação e Matemática AplicadaInstituto Nacional de Pesquisas Espaciais – INPES. José dos CamposBrasil

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