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An Optimization Algorithm Inspired by Membrane Computing

  • Liang Huang
  • Ning Wang
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4222)

Abstract

Inspired by Membrane Computing, this paper presents an optimization algorithm for the problems with large feasible space and large parameters. The algorithm consists of two parts. One is to determine the good area and another is a fast searching tool.The comparisons among some evolutionary algorithms illuminate that the algorithm is simple and computes fast with high precision on optimal problems.

Keywords

Optimization membrane computing (P system) function optimization genetic algorithm evolutionary algorithm 

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References

  1. 1.
    Păun, G.: Computing with membranes. Journal of Computer and System Sciences 61(1), 108–143 (2000)zbMATHCrossRefMathSciNetGoogle Scholar
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    Păun, G.: From Cells to Computers: Computing with Membranes (P Systems). In: Freund, R., Kelemenova, A. (eds.) Proc. Intern. Workshop Grammar Systems 2000, Bad Ischl, Austria, July 2000, pp. 9–40 (2000); BioSystems 59(3), 139–158 (2001)Google Scholar
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    Ho, S.-Y., Chen, J.-H.: Intelligent Evolutionary Algorithms for Large Parameter Optimization Problems. IEEE Transactions on Evolutionary Computation 8(6), 522–541 (2004)CrossRefGoogle Scholar
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    Leung, Y.W., Wang, Y.P.: An orthogonal genetic algorithm with quantization for global numerical optimization. IEEE Transactions on Evolutionary Computation 5(1), 41–53 (2001)CrossRefGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Liang Huang
    • 1
  • Ning Wang
    • 1
  1. 1.National Laboratory of Industrial Control Technology, Institute of Advanced Process ControlZhejiang UniversityHangzhouP.R. China

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