Abstract
Based on the swarm behaviors in shoal of fish, this paper analyzes motion behavior of fish school when fish are foraging. This paper has simulated the pattern of motion behaviors for the fish school quantificationally. Using iterative and updating algorithm, it has modeled the 1-D procedure when fish school gradually approach food. These individual fish that constitute shoal of fish have finite perception and obey simple behavior rules. This paper further adopts modified intelligent optimization algorithm to model the process that individual fish interact with each other, changing position and velocity to gradually be close to food for the 2-D case. Experiment result shows the modified model successfully simulates the swarm behavior in shoal of fish when fish are looking for food, with small relative and absolute error.
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