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GECCO
2005
Springer

Incorporating fuzzy knowledge into fitness: multiobjective evolutionary 3D design of process plants

9 years 11 months ago
Incorporating fuzzy knowledge into fitness: multiobjective evolutionary 3D design of process plants
Designing technical plants is a complex and demanding process. It has been shown that the optimization of the simple facility placement problem is already NP-hard. Optimization of plant designs must obey a number of criteria derived from several fields of process engineering. We discuss an expansion of the simple facility placement problem with nonregular floor spaces and more than one layer. Additionally, we allow forbidden zones and predefined ways. In contrast to other approaches our system can cope with competitive criteria. These can be defined by a plant designer in an intuitive way according to concepts from fuzzy logic. This leads to the multiobjective optimization of costs and fulfillment of weighted design rules. We describe an evolutionary algorithm to construct Pareto-optimal blueprints of chemical plants. The smart indexing of rules and assignment of conclusions to components allows an efficient calculation of the rule fulfillment as part of the fitness function. O...
Ingo Mierswa
Added 27 Jun 2010
Updated 27 Jun 2010
Type Conference
Year 2005
Where GECCO
Authors Ingo Mierswa
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