National Repository of Grey Literature 2 records found  Search took 0.00 seconds. 
Problem Encoding Methods in Evolutionary Design of Combinational Circuits
Sedláček, Adam ; Vašíček, Zdeněk (referee) ; Sekanina, Lukáš (advisor)
The thesis compares two different approaches to combinational circuit encoding for automated circuit design which uses evolutionary algorithms. The comparison was made between cartesian genetic programming and circuit represented in the algebraic normal form. Both methods were evaluated on a chosen set of circuits. The first test case criterion was the convergence of each particular method. The second optimization criterion was the area used on a chip. For accelerating the evaluation of fitness a parallel simulation was used. Implementation is in programming language C++ with Boost library. The pros and cons of both methods are summarised at the end of this work.
Problem Encoding Methods in Evolutionary Design of Combinational Circuits
Sedláček, Adam ; Vašíček, Zdeněk (referee) ; Sekanina, Lukáš (advisor)
The thesis compares two different approaches to combinational circuit encoding for automated circuit design which uses evolutionary algorithms. The comparison was made between cartesian genetic programming and circuit represented in the algebraic normal form. Both methods were evaluated on a chosen set of circuits. The first test case criterion was the convergence of each particular method. The second optimization criterion was the area used on a chip. For accelerating the evaluation of fitness a parallel simulation was used. Implementation is in programming language C++ with Boost library. The pros and cons of both methods are summarised at the end of this work.

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