Search Space Reduction for E/E-Architecture Partitioning
نویسنده
چکیده
As the design of electrical/electronic (E/E)-architectures is becoming more complex, multi-objective optimization algorithms such as evolutionary algorithms (EAs) have been proposed for generating resource optimized architectures. In this paper we extend existing approaches by excluding infeasible solutions from the search space and thereby enhance the quality and runtime behavior of the optimization.
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تاریخ انتشار 2016