Hamed Shah Hosseini proposed intelligent water drops (IWD) algorithm in 2007. It is a revolutionary approach focused on population. It is enthused by the natural river system processes which constitute the actions that occur between flow of river water and the environmental changes in which the river flows. It has two important properties:
- River carried soil
- River’s current velocity of flow
The environment of the river water flow is analogous to the optimization problem. The IWD move from their present position to their next place in steps of a discrete finite length. The soil’s dissimilarity between two locations defines the velocity. The velocity of the IWD is improved by an amount inversely proportional to soil added to the IWD. The time taken to pass the water drop from one location to the other location is inversely (and nonlinearly) proportional to the quantity of mud added to the IWD. The time taken and distance between the two locations is inversely proportional to each other. The time taken and velocity of the IWD are directly proportional to each other. An IWD chooses the low soil paths to higher soil paths on their strata. To introduce path selection behavior, a uniform random distribution among the soils of the available paths is used, so that the probability of next path is inversely proportional to the available path soils. The lower the path soil, the greater the chance it has of being selected by the IWD.
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