A Comparative Study of State Transition Algorithm with Harmony Search   and Artificial Bee Colony
  We focus on a comparative study of three recently developed nature-inspired optimization algorithms, including state transition algorithm, harmony search and artificial bee colony. Their core mechanisms are introduced and their similarities and differences are described. Then, a suit of 27 well-known benchmark problems are used to investigate the performance of these algorithms and finally we discuss their general applicability with respect to the structure of optimization problems. 
Xiaojun Zhou
math.OC cs.IT math.IT math.PR