Evolutionary Algorithms for Embedded System Design describes how
Evolutionary Algorithm (EA) concepts can be applied to circuit and
system design - an area where time-to-market demands are critical.
EAs create an interesting alternative to other approaches since
they can be scaled with the problem size and can be easily run on
parallel computer systems. This book presents several successful EA
techniques and shows how they can be applied at different levels of
the design process. Starting on a high-level abstraction, where
software components are dominant, several optimization steps are
demonstrated, including DSP code optimization and test generation.
Throughout the book, EAs are tested on real-world applications and
on large problem instances. For each application the main criteria
for the successful application in the corresponding domain are
discussed. In addition, contributions from leading international
researchers provide the reader with a variety of perspectives,
including a special focus on the combination of EAs with problem
specific heuristics.
Evolutionary Algorithms for Embedded System Design is an
excellent reference for both practitioners working in the area of
circuit and system design and for researchers in the field of
evolutionary concepts.
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