Detail publikace

Recent Advances in Evolutionary Synthesis and Optimization of Ordinary and Polymorphic Circuits

Originální název

Recent Advances in Evolutionary Synthesis and Optimization of Ordinary and Polymorphic Circuits

Anglický název

Recent Advances in Evolutionary Synthesis and Optimization of Ordinary and Polymorphic Circuits

Jazyk

en

Originální abstrakt

This monograph deals with the evolutionary design and optimization of ordinary and polymorphic circuits. New extensions of Cartesian Genetic Programming (CGP) that allow reducing of the computational time and obtaining more compact circuits are proposed and evaluated. Second part of the thesis is focused on new methods for synthesis of polymorphic circuits. Proposed methods, based on polymorphic binary decision diagrams and polymorphic multiplexing, extend the ordinary circuit representations with the aim of including polymorphic gates. In order to reduce the number of gates in circuits synthesized using proposed methods, an evolutionary optimization based on CGP is implemented and evaluated. The implementations of polymorphic circuits optimized by CGP represent the best known solutions if the number of gates is considered as the target criterion.

Anglický abstrakt

This monograph deals with the evolutionary design and optimization of ordinary and polymorphic circuits. New extensions of Cartesian Genetic Programming (CGP) that allow reducing of the computational time and obtaining more compact circuits are proposed and evaluated. Second part of the thesis is focused on new methods for synthesis of polymorphic circuits. Proposed methods, based on polymorphic binary decision diagrams and polymorphic multiplexing, extend the ordinary circuit representations with the aim of including polymorphic gates. In order to reduce the number of gates in circuits synthesized using proposed methods, an evolutionary optimization based on CGP is implemented and evaluated. The implementations of polymorphic circuits optimized by CGP represent the best known solutions if the number of gates is considered as the target criterion.

BibTex


@book{BUT91141,
  author="Zbyšek {Gajda} and Lukáš {Sekanina}",
  title="Recent Advances in Evolutionary Synthesis and Optimization of Ordinary and Polymorphic Circuits",
  annote="This monograph deals with the evolutionary design and optimization of ordinary
and polymorphic circuits. New extensions of Cartesian Genetic Programming (CGP)
that allow reducing of the computational time and obtaining more compact circuits
are proposed and evaluated. Second part of the thesis is focused on new methods
for synthesis of polymorphic circuits. Proposed methods, based on polymorphic
binary decision diagrams and polymorphic multiplexing, extend the ordinary
circuit representations with the aim of including polymorphic gates. In order to
reduce the number of gates in circuits synthesized using proposed methods, an
evolutionary optimization based on CGP is implemented and evaluated. The
implementations of polymorphic circuits optimized by CGP represent the best known
solutions if the number of gates is considered as the target criterion.",
  address="Faculty of Information Technology BUT",
  chapter="91141",
  edition="NEUVEDEN",
  howpublished="print",
  institution="Faculty of Information Technology BUT",
  year="2011",
  month="december",
  pages="0--0",
  publisher="Faculty of Information Technology BUT",
  type="book"
}