Evolutionary Digital Circuit Design Using Genetic Programming

Created by W.Langdon from gp-bibliography.bib Revision:1.8051

@InCollection{nedjah:2006:GSP2,

• author = "Nadia Nedjah and Luiza {de Macedo Mourelle}",
• title = "Evolutionary Digital Circuit Design Using Genetic Programming",
• year = "2006",
• booktitle = "Genetic Systems Programming: Theory and Experiences",
• pages = "147--171",
• volume = "13",
• series = "Studies in Computational Intelligence",
• editor = "Nadia Nedjah and Ajith Abraham and Luiza {de Macedo Mourelle}",
• publisher = "Springer",
• address = "Germany",
• keywords = "genetic algorithms, genetic programming",
• ISBN = "3-540-29849-5",
• DOI = "doi:10.1007/3-540-32498-4_7",
• abstract = "we study two different circuit encodings used for digital circuit evolution. The first approach is based on genetic programming, where in digital circuits consist of their data flow based specifications. In this approach,individuals are internally represented by the abstract trees/DAG of the corresponding circuit specifications. In the second approach, digital circuits are thought of as a map of rooted gates. So individuals are represented by two-dimensional arrays of cells. Each of these cells consists of the logic gate name together with the corresponding input signal names as the name of the output signal is fixed. Furthermore, we compare the impact of both individual representations on the evolution process of digital circuits. Evolved circuits should minimise space and time requirements. We show that for the same input/output behaviour, employing either of these approaches yields circuits of almost the same characteristics in terms of space and response time. However, the evolutionary process is much shorter with the second encoding",
• notes = "broken June 2024 http://www.springer.com/sgw/cda/frontpage/0,11855,5-146-22-92733168-0,00.html",

}

Genetic Programming entries for Nadia Nedjah Luiza de Macedo Mourelle

Citations