Sperm motility algorithm: a novel metaheuristic approach for global optimisation Online publication date: Mon, 02-Jan-2017
by Osama Abdel Raouf; Ibrahim M. Hezam
International Journal of Operational Research (IJOR), Vol. 28, No. 2, 2017
Abstract: This paper proposes a new metaheuristic approach, namely, sperm motility algorithm (SMA), inspired by the fertilisation process in humans. Sperms are randomly diffused inside the female vagina to start searching for ovum. Investigation considering the modelling process of the sperm flow typical movement is carried out leading to selection of Stokes equations as mathematical model. A heuristic mechanism of sperms guided by chemoattractant secreted by ovum is to guarantee the progressing towards the goal. When the chemoattractant concentration increases the sperms are more likely to approach the ovum. Through the mimicking of the whole fertilisation process, a search approach to find a global optimisation algorithm is achieved. The proposed algorithm is tested using several standard benchmark functions as well as two engineering problems. A comparative study of the results with those obtained using well-known swarm intelligence algorithms is to validate and verify the efficiency of SMA. Getting the benefit of fertilisation chemoattractant, the proposed algorithm managed to solve unbounded constraint optimisation problems. A global optimal solution was reached in the solution of all benchmark problems proving the capability of the new algorithm to escape from local optimum.
Online publication date: Mon, 02-Jan-2017
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Operational Research (IJOR):
Login with your Inderscience username and password:
Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.
If you still need assistance, please email email@example.com