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Parameter Identification of Anaerobic Wastewater Treatment Bioprocesses Using Particle Swarm Optimization

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  • Dorin Sendrescu

Abstract

This paper deals with the offline parameters identification for a class of wastewater treatment bioprocesses using particle swarm optimization (PSO) techniques. Particle swarm optimization is a relatively new heuristic method that has produced promising results for solving complex optimization problems. In this paper one uses some variants of the PSO algorithm for parameter estimation of an anaerobic wastewater treatment process that is a complex biotechnological system. The identification scheme is based on a multimodal numerical optimization problem with high dimension. The performances of the method are analyzed by numerical simulations.

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  • Dorin Sendrescu, 2013. "Parameter Identification of Anaerobic Wastewater Treatment Bioprocesses Using Particle Swarm Optimization," Mathematical Problems in Engineering, Hindawi, vol. 2013, pages 1-8, July.
    • Handle: RePEc:hin:jnlmpe:103748
    DOI: 10.1155/2013/103748
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