Differential Evolution in Wireless Communications: A Review


  • Hilary I Okagbue
  • Muminu O Adamu Department of Mathematics, University of Lagos, Akoka, Lagos, Nigeria
  • Timothy A Anake Department of Mathematics, Covenant University, Ota, Nigeria




Differential evolution, multiobjective optimization, evolutionary computation, energy utilization, localization, coverage, wireless networks.


Differential Evolution (DE) is an evolutionary computational method inspired by the biological processes of evolution and mutation. DE has been applied in numerous scientific fields. The paper presents a literature review of DE and its application in wireless communication. The detailed history, characteristics, strengths, variants and weaknesses of DE were presented. Seven broad areas were identified as different domains of application of DE in wireless communications. It was observed that coverage area maximisation and energy consumption minimisation are the two major areas where DE is applied. Others areas are quality of service, updating mechanism where candidate positions learn from a large diversified search region, security and related field applications. Problems in wireless communications are often modelled as multiobjective optimisation which can easily be tackled by the use of DE or hybrid of DE with other algorithms. Different research areas can be explored and DE will continue to be utilized in this context.




How to Cite

Okagbue, H. I., Adamu, M. O., & Anake, T. A. (2019). Differential Evolution in Wireless Communications: A Review. International Journal of Online and Biomedical Engineering (iJOE), 15(11), pp. 29–52. https://doi.org/10.3991/ijoe.v15i11.10651