powerful tools based on biological evolution mechanisms
and natural selection theory, have received considerable
attention as the truss-structure optimal design efforts in that they
possess mixed discrete-continuous variable encoding nature. Deb
and Gulati [3] employed real-coded genetic algorithms to derive
the optimal cross-sectional size, topology, and configuration of
truss structure achieving minimum weight under stress, deflection,
and kinematic stability constraints. They used a representation
scheme that naturally allows all three optimizations to be used concurrently.