International Journal of Computer Applications |
Foundation of Computer Science (FCS), NY, USA |
Volume 182 - Number 16 |
Year of Publication: 2018 |
Authors: Madhup Sukoon, Haider Banka |
10.5120/ijca2018917835 |
Madhup Sukoon, Haider Banka . Water-Tank Fish Algorithm: A New Metaheuristic for Optimization. International Journal of Computer Applications. 182, 16 ( Sep 2018), 1-5. DOI=10.5120/ijca2018917835
This paper aims to introduce a new metaheuristic : TheWater-Tank Fish Algorithm, modeled after the workings of the swim bladder in fish, to non-deterministically compute the optima for numerical optimization problems. To balance the explorative-exploitative behavior of a search, the proposed method uses a search localization routine which, after a general exploration, restricts the search to certain areas of the graph and intensifies it as the algorithm advances. The proposed method is tested over 40 benchmark mathematical functions and the results were found to be very encouraging.