Trustworthy Genetic Programming-Based Synthesis of Analog Circuit Topologies Using Hierarchical Domain-Specific Building Blocks
Created by W.Langdon from
gp-bibliography.bib Revision:1.8098
- @Article{McConaghy:2012:ieeetec,
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author = "Trent McConaghy and Pieter Palmers and
Michiel Steyaert and Georges G. E. Gielen",
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title = "Trustworthy Genetic Programming-Based Synthesis of
Analog Circuit Topologies Using Hierarchical
Domain-Specific Building Blocks",
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journal = "IEEE Transactions on Evolutionary Computation",
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year = "2011",
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volume = "15",
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number = "4",
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pages = "557--570",
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month = aug,
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keywords = "genetic algorithms, genetic programming, Analog,
Analog circuits, Design automation, Grammar, Integrated
circuit modelling, Semiconductor process modeling,
Solid modeling, Topology, design automation,
evolutionary algorithm (EA), integrated circuit (IC),
multiobjective optimisation",
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ISSN = "1089-778X",
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URL = "http://trent.st/content/2011-TEVC-mojito-ea.pdf",
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DOI = "doi:10.1109/TEVC.2010.2093581",
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size = "14 pages",
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abstract = "This paper presents MOJITO, a system that performs
structural synthesis of analog circuits, returning
designs that are trustworthy by construction. The
search space is defined by a set of expert-specified,
trusted, hierarchically-organised analog building
blocks, which are organized as a parametrised
context-free grammar. The search algorithm is a
multiobjective evolutionary algorithm that uses an
age-layered population structure to balance exploration
versus exploitation. It is validated with experiments
to search across more than 100000 different one-stage
and two-stage opamp topologies, returning
human-competitive results. The runtime is orders of
magnitude faster than open-ended systems, and unlike
the other evolutionary algorithm approaches, the
resulting circuits are trustworthy by construction. The
approach generalises to other problem domains which
have accumulated structural domain knowledge, such as
robotic structures, car assemblies, and modelling
biological systems.",
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notes = "Also known as \cite{5699917}",
- }
Genetic Programming entries for
Trent McConaghy
Pieter Palmers
Michiel Steyaert
Georges G E Gielen
Citations