论文信息 - A Practical Approach To Combustion Process Optimization Using An Improved Immune Optimizer

A Practical Approach To Combustion Process Optimization Using An Improved Immune Optimizer

An improved version of the immune inspired optimizer SILO is presented in this paper. The new model identification method allows for utilization of model gains constraints. Moreover the operation of a new Transition State algorithm is analyzed based on a real-life example. The improved version of SILO was implemented in a real power boiler. Results from a real combustion process optimization are presented in this paper.

Konrad Wojdan

[1] Konrad Wojdan,et al. Maintaining Good Conditioning of Model Identification Task in Immune Inspired On-line Optimizer of an Industrial Process , 2009, Eng. Lett..

[2] Konrad Wojdan,et al. Transition States Handling in Self-Adaptive Steady State Optimizer of Industrial Processes , 2010 .

[3] Konrad Wojdan,et al. Bio-Inspired Process Control , 2011 .