Thermal considerations in printed wiring board (PWB) assemblies are becoming increasingly important as packaging constraints shrink and power use escalates. In this paper, we provide a study on the potential for a genetic algorithm-driven PWB layout design tool to improve the thermal performance of such assemblies. As a case study, the thermomechanical fatigue of surface mounted leadless chip carriers on an FR4 epoxy board is used. We have found that by utilizing appropriate formula-based engineering approximations, the efficiency of parallel implementations of genetic algorithms in finding near-optimal and results makes this approach effective as an explorative “scouting” approach to identify promising board configurations for more computationally expensive evaluations such as finite element method.

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