Abstract
The main purpose of this paper is to introduce genetic
programming into civil engineering problem solving.
This paper describes a genetic programming-based
approach for simultaneous sizing, geometry, and
topology optimization of structures. An encoding
strategy is presented to map between the real
structures and the genetic programming parse trees.
Numerical results for two examples reveal that the
proposed approach is capable of producing the topology
and shape of the desired trusses and the sizing of all
the structural components. Hence, this approach can
potentially be a powerful search and optimization
technique in civil engineering problem solving.
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