Optimisation of process plant layout using genetic algorithms

The layout of chemical facilities is an activity that is largely carried out by the human designer. Few methods exist for optimising layout. Difficulties in formulating the problem as a mathematical program stem from non- convexities as well as from non-differentiable cost functions. Recent attempts...

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Bibliographic Details
Published in:Computers & chemical engineering 1998-01, Vol.22, p.S993-S996
Main Authors: Castell, C.M.L., Lakshmanan, R., Skilling, J.M., Bañares-Alcántara, R.
Format: Article
Language:English
Subjects:
Applications of mathematics to chemical engineering. Modeling. Simulation. Optimization
Applied sciences
Chemical engineering
Exact sciences and technology
Genetic Algorithms
Layout
Optimisation
Process Plant
Safety
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Summary:The layout of chemical facilities is an activity that is largely carried out by the human designer. Few methods exist for optimising layout. Difficulties in formulating the problem as a mathematical program stem from non- convexities as well as from non-differentiable cost functions. Recent attempts (Penteado and Ciric, 1996) have succeeded in only implicitly including land costs, resulting in layouts which can be excessively conservative from the point of view of safety. The use of stochastic optimisation techniques, though not guaranteed to find the global optimum, has proved to be effective in obtaining good, practical solutions and permits the incorporation of more realistic cost functions and constraints. In this research, experiments were carried out using various genetic algorithm formulations, and the resulting program, which includes a useful graphical interactive component, is presented here.
ISSN:0098-1354
1873-4375
DOI:10.1016/S0098-1354(98)00198-7