Scientific Research and Essays

  • Abbreviation: Sci. Res. Essays
  • Language: English
  • ISSN: 1992-2248
  • DOI: 10.5897/SRE
  • Start Year: 2006
  • Published Articles: 2768

Full Length Research Paper

A novel meta-heuristic algorithm for numerical function optimization: Blind, naked mole-rats (BNMR) algorithm

Mohammad Taherdangkoo1* Mohammad Hossein Shirzadi2 and Mohammad Hadi Bagheri3
1Department of Communications and Electronics, Faculty of Electrical and Computer Engineering, Shiraz University, Shiraz, Iran. 2Department of Industrial Engineering, University of Tehran, Tehran, Iran. 3Center for Evidence-Based Imaging, Department of Radiology, Brigham and Women’s Hospital, Harvard Medical School, Brookline, MA, USA.
Email: [email protected], [email protected]

  •  Accepted: 24 September 2012
  •  Published: 27 October 2012


Optimization algorithms inspired by the world of nature have turned into powerful tools for solving the complicated problems. However, they have still some drawbacks need the investigation of new and better optimization algorithms. In this paper, we propose a new meta-heuristic algorithm called blind naked mole-rats (BNMR) algorithm. This algorithm has been developed based on the social behavior of the blind naked mole-rats colony in searching the food and protecting the colony against invasions. By introducing this algorithm, we have tried to overcome many disadvantages of the usual optimization algorithms including getting trapped in local minimums or having low rate of convergence. Using several benchmark functions, we demonstrate the superior performance of the proposed algorithm in comparison with some other well-known optimization algorithms.


Key words: Meta-heuristic algorithm, optimization algorithm, BNMR algorithm.