Masri  Ayob, Mohammed  Hadwan, Hafiz Mohd  Sarim, 
    The Harmony Search Algorithms in Solving Combinatorial Optimization Problems,
    Research Journal of Applied Sciences,
    Volume 8,Issue 3,
    2013,
    Pages 191-198,
    ISSN 1815-932x,
    rjasci.2013.191.198,
    (https://makhillpublications.co/view-article.php?doi=rjasci.2013.191.198)
    Abstract: Harmony Search Algorithm (HSA) is a relatively new nature-inspired 
  algorithm. HSA is a population based metaheuristic that inspired by the improvisation 
  of jazz musicians. It evolves solutions by mimicking the musical improvisation 
  process in searching for agreeable harmony. Many variants of HSA have proposed 
  to solve different types of optimization problems. They vary from hybridizing 
  some concepts of other metaheuristic approaches to enhance the HSA to taking 
  some components of HSA and employed them to enhance the other metaheuristic 
  approaches. This research reviews research issues of the parameter settings 
  in HSA and application of HSA to effectively solve some complex problems.
    Keywords: Harmony search;meta-heuristic;timetabling and personnel scheduling;HSA nature;inspired algorithm;Malaysia