Abstract
In this paper, we present an extended boid model for simulating the aggregate moving of fish schools in a complex environment. The boids model is an example of an individual-based model. The global behavior of the school is simulated by a large number of interesting individual boid (fish). In our proposed model, each boid is an agent that following six behavior rules: avoiding collision against schoolmates; gathering together; following a feed; avoiding obstacle; avoiding enemy boids; boundaries. The moving vector of each boid is a linear combination of five behavior rule vectors, and the coefficients are optimized by using an interactive genetic algorithm (IGA). Unlike the classical GA, interactive GA can adopt a user’s subjective evaluation as fitness, which is useful when a fitness function cannot be exactly determined.
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© 2008 Springer-Verlag Berlin Heidelberg
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Chen, YW., Kobayashi, K., Kawabayashi, H., Huang, X. (2008). Application of Interactive Genetic Algorithms to Boid Model Based Artificial Fish Schools. In: Lovrek, I., Howlett, R.J., Jain, L.C. (eds) Knowledge-Based Intelligent Information and Engineering Systems. KES 2008. Lecture Notes in Computer Science(), vol 5178. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-85565-1_18
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DOI: https://doi.org/10.1007/978-3-540-85565-1_18
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