Evolutionary Intelligence

, Volume 9, Issue 3, pp 53–54 | Cite as

Foreword: special issue on evolutionary computer vision and pattern recognition

  • Stefano CagnoniEmail author
  • Mengjie Zhang

Analyzing the scientific literature of the early years in the history of Evolutionary Computation (EC) it is already possible to find traces of the application fields that would soon be shown to be more than plain testbeds for EC methods and become driving forces that have propelled and shaped over time the still on-going development of such methods.

Among these application fields, computer vision (CV) and pattern recognition (PR) have definitely played a very relevant role, since the challenges they propose are complex, difficult to face, and highly practical, all features that are essential for nurturing new developments and breakthroughs in the study of the methods that are used to face them.

In fact, the use of EC to support CV’s attempt to create artificial sensory systems keeps EC tightly in touch with the real world. CV problems are real-world problems virtually by definition. This requires that solutions to such problems deal with uncertainty, variability, noise, and all those...


Particle Swarm Optimization Feature Selection Evolutionary Computation Computer Vision Problem Computerize Tomography Machine 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.



We believe that organizing special events and journal issues dedicated to specialized, though popular, subtopics of EC research is a very good way of driving attention onto them and to foster further research developments. Therefore, we are always happy to devote some of our time to this activity, also thanks to the positive feedback we usually receive from readers and participants. Because of this, we are extremely grateful to Prof. Bull, Editor-in-chief of this journal, for offering us the opportunity to organize and edit this special issue, as well as to all the authors, firstly, for their scientific contributions and, secondly, for being as patient when we have been slow as quick when we have urged them. The same gratitude we would like to express to our competent and very punctual reviewers. Finally, we would like to sincerely thank Divya Nagarajan, Journal Editorial Office assistant, for supporting (and soliciting) us throughout the more than one-year-long process that has led to the publication of this issue. We do hope that the readers of this journal will appreciate the result of this common, cooperative effort.

Copyright information

© Springer-Verlag Berlin Heidelberg 2016

Authors and Affiliations

  1. 1.University of ParmaParmaItaly
  2. 2.Victoria University of WellingtonWellingtonNew Zealand

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