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Predator-Prey Model

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A New Bio-inspired Optimization Algorithm Based on the Self-defense Mechanism of Plants in Nature

Part of the book series: SpringerBriefs in Applied Sciences and Technology ((BRIEFSINTELL))

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Abstract

The organisms live in communities, forming intricate relationships of interaction, where each species directly or indirectly depend on the presence of the other.

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References

  1. Caraveo, C., Valdez, F., & Castillo, O. (2015). Bio-inspired optimization algorithm based on the self-defense mechanism in plants. In Advances in artificial intelligence and soft computing (pp. 227–237). Springer International Publishing.

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  2. Caraveo, C., Valdez, F., Castillo, O., & Melin, P. (2016, December). A new metaheuristic based on the self-defense techniques of the plants in nature. In 2016 IEEE Symposium Series on Computational Intelligence (SSCI) (pp. 1–5). IEEE.

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  3. Lez-Parra, G. G., Arenas, A. J., & Cogollo, M. R. (2013). Numerical-analytical solutions of predator-prey models. WSEAS Transactions on Biology & Biomedicine, 10(2), 1–7.

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  4. Silva, A., Neves, A., & Costa, E. (2002, September). An empirical comparison of particle swarm and predator prey optimisation. In Irish Conference on Artificial Intelligence and Cognitive Science (pp. 103–110). Berlin, Heidelberg: Springer.

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  5. Xiao, Y., & Chen, L. (2001). Modeling and analysis of a predator–prey model with disease in the prey. Mathematical Biosciences, 171(1), 59–82.

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Authors and Affiliations

  1. Division of Graduate Studies, Tijuana Institute of Technology, Tijuana, Baja California, Mexico

    Camilo Caraveo, Fevrier Valdez & Oscar Castillo

Authors
  1. Camilo Caraveo
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  2. Fevrier Valdez
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  3. Oscar Castillo
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Corresponding author

Correspondence to Camilo Caraveo .

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© 2019 The Author(s), under exclusive license to Springer Nature Switzerland AG

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Caraveo, C., Valdez, F., Castillo, O. (2019). Predator-Prey Model. In: A New Bio-inspired Optimization Algorithm Based on the Self-defense Mechanism of Plants in Nature. SpringerBriefs in Applied Sciences and Technology(). Springer, Cham. https://doi.org/10.1007/978-3-030-05551-6_4

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