Abstract
In chemical process system optimization, it is common that problem has large number of equality constraints and bound constraints, and relatively few degrees of freedom. Reduced space algorithms are well suited for this category of problem. In this paper, a new version of RSQP algorithm coded and implemented in Matlab language was developed. In the RSQP algorithm, the rule of basis selection was revised, and basis selection was realized by Matlab subroutine. Also, an integrated line search of filter method was performed to obtained steplengh. The method combines the advantages of filter line search and that of traditional line search, and was validated by some benchmark examples. The RSQP was applied to some chemical process optimization problems; computational results demonstrate its effectiveness and efficiency.
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