Fish school search: an interval representation

Abstract

Fish species compared to animals show complicated behavior mostly to increase their survivability. One may understand the phenomenon by two different ways viz., for mutual protection and for synergic achievements of other collective tasks. As per the literature, there exist some studies related to the above collective goals for finding food by considering the data as a crisp or exact form. But in actual practice the positions of fish at each instant of time may not be obtained in crisp. But those should be taken in uncertain form. Here this uncertainty has been taken in terms of interval. Hence in the thesis, a new form of fish school search has been proposed. Accordingly the interval computation has been implemented to obtain the fish position and hence the optimization process goes in a new direction.