Process synthesis algorithm

Ignacio E. Grossmann, Mixed-Integer Optimization Techniques for Algorithmic Process Synthesis... 

ISI can be used also as an objective function in computerized process synthesis. Process synthesis can be considered as an optimization task. Because the model is uncontinuous, ordinary optimization methods could not be used, but a genetic algorithm was employed instead. In a genetic algorithm the structure of the process was represented as a string of integers, which describes the operations required and how they are connected together. 

Hurme, M., 1996. Separation Process Synthesis with Genetic Algorithm. Proceedings of the Second Nordic Workshop on Genetic Algorithms and their Applications. In Alander, J.T. (Ed.). Vaasa. Pp. 219-224. Proceedings of the University of Vaasa, No. 11. 

Monte Carlo sampling, 26 999, 1001—1004 in control systems, 26 1046 future trends in, 26 1047-1048 HSGA algorithm and, 26 1032 in process scheduling, 26 1042-1043 in process synthesis and design, 26 1041 quasi-Monte Carlo sampling and, 26 1011-1016 for risk analysis, 26 1045 in supply chain management, 26 1043-1044... 

Acevedo, J. and Pistikopoulos, E.N. (1998) Stochastic optimization based algorithms for process synthesis under uncertainty. Computers e[ Chemical Engineering, 22, 647. 

In this book we will focus our studies on nonlinear and mixed integer optimization models and present the fundamental theoretical aspects, the algorithmic issues, and their applications in the area of Process Synthesis in chemical engineering. Furthermore, we will restrict our attention to algebraic models with a single objective. The structure of such nonlinear and mixed integer optimization models takes the following form ... 

C. A. Floudas and I. E. Grossmann. Algorithmic approaches to process synthesis logic and global optimization. In Proceedings of Foundations of Computer-Aided Design, FOCAPD 94, Snowmass, Colorado, 1994. 

I. E. Grossmann. MINLP optimization strategies and algorithms for process synthesis. In... 

I. E. Grossmann. MINLP optimization strategies and algorithms for process synthesis. In Proc. 3rd. Int. Conf. on Foundations of Computer-Aided Process Design, page 105, 1990. 

V. Visweswaran and C. A. Floudas. Application of the GOP algorithm to process synthesis problems, in preparation, 1995. 

Conception is the most critical step in the development of a new process. Though still done largely on the basis of experience and intuition, it may be implemented with process synthesis. Computerized algorithms may provide for a large number of possible routes to a product. This method, combined with the analysis of raw material costs and DS-51 ASTM tests for process hazardousness, are the best options to speed up the bench-scale development of new chemical processes. Thus, one or a reduced number of routes to the desired product can be identified for preliminary process development. 

One might classify several of these heat exchanger network synthesis algorithms into two broad classes. There are several algorithms which view the synthesis problem as one which selects the next hot process stream/cold process stream match to make. 

Govind and Powers (1976, 1978) have developed a synthesis algorithm which deliberately uses very crude process models. 

There will be major changes in synthesis procedures and computer-aided design tools in the years ahead and eventually a strong focus on process innovation. Concepts from artificial intelligence will play a major role, as will improved algorithms and better hardware. Thus, process synthesis,... 

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