Grouping genetic algorithms: Advances for real-world grouping problems

Michael Mutingi, Charles Mbohwa

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

2 Citations (Scopus)


Since its inception in the 1990s, the GGA approach has been instrumental in solving a number of industrial grouping problems. Over the years, a significant amount of research brought up new techniques and new areas of applications of the algorithm. However, further research on the algorithm and its potential applications continue to grow. This chapter focused on recent advances on GGA techniques and their potential application areas. In addition, new techniques and developments were proposed and presented, including their potential advantages and their potential areas of applications. It will be interesting to experiment on some of the recent and proposed GGA techniques. This will be dealt with in the forthcoming sections. The next section of this book focuses on illustrative applications of these techniques.

Original languageEnglish
Title of host publicationStudies in Computational Intelligence
PublisherSpringer Verlag
Number of pages22
Publication statusPublished - 2017

Publication series

NameStudies in Computational Intelligence
ISSN (Print)1860-949X

ASJC Scopus subject areas

  • Artificial Intelligence


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