Environments conducive to evolution of modularity

Vineet R. KHARE, Bernhard SENDHOFF, Xin YAO

Research output: Book Chapters | Papers in Conference ProceedingsConference paper (refereed)Researchpeer-review

2 Citations (Scopus)


Modularity has been recognised as one of the crucial aspects of natural complex systems. Since these are results of evolution, it has been argued that modular systems must have selective advantages over their monolithic counterparts. Simulation results with artificial neuro-evolutionary complex systems, however, are indecisive in this regard. It has been shown that advantages of modularity, if judged on a static task, in these systems are very much dependent on various factors involved in the training of these systems. We present a couple of dynamic environments and argue that environments like these might be partly responsible for the evolution of modular systems. These environments allow for a better, more direct use of structural information present within modular systems hence limit the influence of other factors. We support these arguments with the help of a co-evolutionary model and a fitness measure based on system performance in these dynamic environments. © Springer-Verlag Berlin Heidelberg 2006.
Original languageEnglish
Title of host publicationParallel Problem Solving from Nature : PPSN IX : 9th International Conference, Reykjavik, Iceland, September 9-13, 2006, Proceedings
EditorsThomas Philip RUNARSSON, Hans-Georg BEYER, Edmund BURKE, Juan J. MERELO-GUERVÓS, L. Darrell WHITLEY, Xin YAO
PublisherSpringer Berlin Heidelberg
Number of pages10
ISBN (Electronic)9783540389910
ISBN (Print)9783540389903
Publication statusPublished - 2006
Externally publishedYes
EventPPSN 2006 : International Conference on Parallel Problem Solving from Nature - Reykjavik, Iceland
Duration: 9 Sept 200613 Sept 2006

Publication series

NameLecture Notes in Computer Science
PublisherSpringer Berlin, Heidelberg
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


ConferencePPSN 2006 : International Conference on Parallel Problem Solving from Nature


  • Dynamic Environment
  • Hide Unit
  • Related Task
  • Modular System
  • Cross Entropy


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