A new population-based nature-inspired algorithm every month: Is the current era coming to the end?

نویسندگان

  • Iztok Fister
  • Uroš Mlakar
  • Janez Brest
چکیده

Every month at least one new population-based nature-inspired algorithm has been released in literature. Until recently, there were probably more than 200 algorithms of this kind in books, papers and proceedings. Many researchers discuss that this research area is becoming flooded with new algorithms that are in fact the old algorithms in a new disguise. Potentially, such behavior could be leading into the emergence of pseudoscience. In this paper, we try to find some answers to the questions what lead authors to propose and develop the new nature-inspired algorithms and what their benefits in doing so are. We propose ways in which to stop the emergence of new algorithms. In line with this, we have found that proposing the new population-based nature-inspired algorithms is actually similar to the swarm intelligence behavior in nature, where the role of population members is acted by authors of the new algorithm with the goal to publish a paper, thus promoting its algorithm and spreading it all over the world.

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تاریخ انتشار 2016