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Impulse Engine Ignition Algorithm Based on Genetic Particle Swarm Optimization

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Advances in Swarm Intelligence (ICSI 2013)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 7929))

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Abstract

The Concerning the problem of near space target intercepting, double-goal optimization model is established in order to maximize the response pace and to minimize the engine consumption at the same time. Impulse engine ignition algorithm based on Genetic Particle Swarm Optimization is presented. The global optimal solution of the optimal problem could be obtained fast by this algorithm. Simulation results indicate that the Ignition control algorithm can obtain high control precision with low engine consumption.

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© 2013 Springer-Verlag Berlin Heidelberg

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Liang, X., Yin, Z., Wang, Y., Sun, Q. (2013). Impulse Engine Ignition Algorithm Based on Genetic Particle Swarm Optimization. In: Tan, Y., Shi, Y., Mo, H. (eds) Advances in Swarm Intelligence. ICSI 2013. Lecture Notes in Computer Science, vol 7929. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-38715-9_5

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  • DOI: https://doi.org/10.1007/978-3-642-38715-9_5

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-38714-2

  • Online ISBN: 978-3-642-38715-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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