In recent years, genetic programming has attracted many
researcher's attention and so became a consolidated methodology to
automatically create new competitive computer programs. Concise and
efficient synthesis of a variety of systems has been generated by
evolutionary computations. Evolvable hardware is a growing
discipline. It allows one to evolve creative and novel hardware
architectures given the expected input/output behaviour. There are
two kinds of evolvable hardware: extrinsic and intrinsic. The
former relies on a simulated evolutionary process to evaluate the
characteristics of the evolved designs while the latter uses
hardware itself to do so. Usually, reconfigurable hardware such
FPGA and FPAA are exploited. One of the main problems that still
faces researchers in the field of evolutionary machine design is
the scalability. This book is devoted to reporting innovative and
significant progress in automatic machine design. Theoretical as
well as practical chapters are contemplated. The scalability
problem in evolutionary machine designs is addresses. The content
of this book is divided into two main parts: evolvable hardware and
genetic programming; and evolutionary designs. In the following, we
give a brief description of the main contribution of each of the
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