Abstract
Traditionally, the open-domain optimum design of truss
structures is solved using conceptual designs which are
often based on their ground structures. However, the
ground structures are problem-dependent and usually
require relatively deep understanding of the problem.
This paper presents a genetic programming (GP) based
methodology for the automated optimum designs of
structures using an approach which is free from ground
structures. Thus, it has few requirements about the
domain knowledge of the problem and is less
problem-dependent. Illustrative example is also
presented to show that, compared with genetic
algorithm, GP is more flexible and has higher search
efficiency when it is employed to solve open-domain
structural design problems.
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