Abstract
In recent years, using ecological control method for pest management has become a hot topic, and some pest-predator models have been proposed. These models are expressed by impulse control equations, and which can be transformed into a global optimization problem. But it is easy to fall into local optimal when solving these equations by traditional method. On the other hand, differential evolution (DE) algorithm has been widely used to solve a variety of complex optimization problems. Therefore, attempting to solve the impulse control equations of plant-pest-predator model by DE algorithm is an important motivation of this paper. In order to further enhance the optimization capability, a rotation-based differential evolution (RDE) was introduced by embedding a rotation-based learning mechanism into DE. The simulation experiments show that the RDE algorithm can solve the impulse control equations effectively, and the results are more competitive than those obtained by the traditional algorithms. Meanwhile, the convergence speed of RDE algorithm is also very fast. This preliminary study may provide a new method for solving ecological control problem.
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Acknowledgement
This work was supported in part by Science and Technology Research Program in Henan Province of China (182102210411); Science and Technology Key Research Project of Henan Provincial Education Department of China (18A520040); and Young Backbone Teacher of Henan Province (2018GGJS148). The first two authors contributed equally to this work.
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Liu, H., Yang, F., Pang, L., Zhao, Z. (2020). Tentative Study on Solving Impulse Control Equations of Plant-pest-predator Model with Differential Evolution Algorithm. In: Pan, L., Liang, J., Qu, B. (eds) Bio-inspired Computing: Theories and Applications. BIC-TA 2019. Communications in Computer and Information Science, vol 1159. Springer, Singapore. https://doi.org/10.1007/978-981-15-3425-6_4
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