Adaptation in natural and artificial systems
Adaptation in natural and artificial systems
Genetic algorithms + data structures = evolution programs (2nd, extended ed.)
Genetic algorithms + data structures = evolution programs (2nd, extended ed.)
Optimising frame structures by different strategies of genetic algorithms
Finite Elements in Analysis and Design
Finite Elements in Analysis and Design
Design of truss-structures for minimum weight using genetic algorithms
Finite Elements in Analysis and Design
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A new design method involving electrical, thermal and thermo-mechanical characterizations was developed to optimize the geometric parameters and material properties of a flip chip CSP. A two-dimensional nonlinear finite element model was created using the APDL commercial software ANSYS programming technique to connect with the search routines of genetic algorithms. The electrical characterization optimization objective function was used to set the characteristic impedance of the solder bump and corresponded with the first incident voltage adapting the CMOS switch event to reduce the response time delay in the binary command as well as maintaining the chip level efficiency. The thermal resistance determines the package thermal performance; that is, the objective function is to minimize the thermal resistance under certain power dissipation parameters. Thermally induced stress and warpage dominate the thermo-mechanical behavior. The objective function is the minimization of the thermal stress gradients around the chip, bump, underfill and molding compound as well as mechanical warpage in the entire package. The optimization results show that a remarkable strategy for packaging design was achieved.