Abstract: This paper deals with the formulation and solution of a class of mixed-integer nonlinear programming (MINLP) problems, applied to optimal process synthesis in a modular environment. The proposed algorithm avoids doing a lot of calculation of the model equations. It makes the size of MINLP small. The MINLP algorithm consists of solving alternation sequences of MILP master problem and NLP subproblems, whose sizes are remarkably reduced. The NLP subproblem provides the linearization information of the nonlinear constraints that relate the output variables to input variables specified explicitly. The HDA process is taken as a case study of the capabilities of the process synthesizer. It proves that the proposed solution deals with complex MINLP problems satisfactory.

摘要：

针对过程系统综合问题中求解混合整数非线性规划（MINLP）问题传统解法的不足提出了在[JP+1]模块化环境中过程系统综合问题新的求解策略，同时提出相对应的算法.实例证明了该策略的正确性和新算法的有效性.