Call for Paper - November 2023 Edition
IJCA solicits original research papers for the November 2023 Edition. Last date of manuscript submission is October 20, 2023. Read More

Malaria Diagnosis using Swarm Intelligence

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Year of Publication: 2018
Nathaniel A. Ojekudo, Eva N. Obinna,

Nathaniel A Ojekudo and Eva Obinna N and. Malaria Diagnosis using Swarm Intelligence. International Journal of Computer Applications 181(9):24-28, August 2018. BibTeX

	author = {Nathaniel A. Ojekudo and Eva N. Obinna and},
	title = {Malaria Diagnosis using Swarm Intelligence},
	journal = {International Journal of Computer Applications},
	issue_date = {August 2018},
	volume = {181},
	number = {9},
	month = {Aug},
	year = {2018},
	issn = {0975-8887},
	pages = {24-28},
	numpages = {5},
	url = {},
	doi = {10.5120/ijca2018917602},
	publisher = {Foundation of Computer Science (FCS), NY, USA},
	address = {New York, USA}


Malaria is a life-threatening disease that is increasing in an uncontrolled way throughout Nigeria and the entire world at large. In attempt to eradicate this deadly disease early detection needs to be done. If proper diagnosis can be achieved early enough, proper prescription can be given to the individual. In attempt to eradicate this deadly disease, there is need for an efficient malaria diagnosis system. This work designed an efficient malaria diagnosis system with capacity to diagnose malaria efficiently and produce result base on symptoms, using a swarm intelligence model known as Artificial Bee Colony (ABC) Algorithm. This work when implemented, if the result obtained is given an immediate attention, proper prescriptions can be administered to the patient.


  1. Ahmed, H. and Glasgow, J. 2012. Swarm intelligence: concepts, models and applications. (February, 2012).
  2. Babu, M. S. P. and Rao, N. T. 2010. Implementation of artificial bee colony (ABC) algorithm on garlic expert advisory system.
  3. Basturk, B. and Karaboga, D. 2006. An artificial bee colony (ABC) algorithm for numeric function optimization, IEE swarm Intelligence symposium, May 12-14, Indiana, USA.
  4. Belal, M., Gaber, J., El-Sayed, H., Almojel, A. 2006. Swarm intelligence, in handbook of bio inspired algorithms and applications. series: CRC computer & information science. Vol. 7. chapman & hall Eds. ISBN 1-58488-477-5.
  5. Beni, G. and Wang, J., 1989. Swarm intelligence in cellular robotic systems. Proceed. NATO advanced workshop on robots and biological systems, tuscany, italy, june 26-30. Doi:10.1007/978-3-58069-7_38.
  6. Blum, C. and Merkle, D. 2008. (eds.) Swarm intelligence – introduction and applications. natural computing. springer, berlin.
  7. Karaboga, D. 2005. An idea based on honey bee swarm for numerical optimization, technical report-TR06, erciyes university, engineering faculty, computer engineering department.
  8. Luo, E. K. 2017. Malaria, medically reviewed on (november 9) written by Darla Burk.
  9. Panigrahi, B. K., Shi, Y., Lim, M. –H. 2011. (eds.) “handbook of swarm intelligence”. series: adaptation, learning, and optimization, Vol 7, springer-verlag berlin heidelberg. ISBN 978- 3-642-17389-9.
  10. What is Artificial Intelligence (AI)- Definition from techopedia retrieved from>definition on 13th April, 2018.
  11. Witkowski, O. and Ikegami, T. 2016. Emergence of Swarming Behavior: Foraging Agents Evolve Collective Motion Based on Signaling
  12. Nwamae, B. and Kabari, L. (2018). Solving Travelling Salesman Problem(TSP) Using Ant Colony Optimization(ACO). International Journal Of Engineering Research & Technology (IJERT), 7(07).
  13. Siddhartha, B. and Dutta, P. 2015. Handbook of Research on Swarm Intelligence in Engineering. RCC Institute of Information Technology India, Visva-Bharati University. A volume in the Advances in Computational Intelligence and Robotics (ACIR) book series.
  14. Dash, S. and Subudhi, B. 2016. Handbook of Research on Computational Intelligence Aplications in Bioinformatics. Published in the United States of America. Medical Information Science Reference (an imprint of IGI Global).
  15. Gandomi, A. H., Yang, X.-S., Talatahari, S., Alavi, A. H. 2013. Metaheuristic Applications in Struvtures and Infrastructures.
  16. Tan, Y., Shi, Y., Ji, Z. 2012. Advances in Swarm Intelligence. Third International Conference, ICSI. China (June 2012) proceedings, part 1. Springer.


Swarm Intelligence, ABC Algorithm, Malaria Diagnosis, Garlic Crop, Swarm Intelligence Models.