Open-ended evolution to discover analogue circuits for beyond conventional applications

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

@Article{Sapargaliyev:2012:GPEM,

• author = "Yerbol A. Sapargaliyev and Tatiana G. Kalganova",
• title = "Open-ended evolution to discover analogue circuits for beyond conventional applications",
• journal = "Genetic Programming and Evolvable Machines",
• year = "2012",
• volume = "13",
• number = "4",
• pages = "411--443",
• month = dec,
• keywords = "genetic algorithms, genetic programming, evolvable hardware, Analogue Circuit Synthesis, CAD, SPICE, Simulation, Evolutionary algorithms",
• ISSN = "1389-2576",
• DOI = "doi:10.1007/s10710-012-9163-8",
• URL = "http://results.ref.ac.uk/Submissions/Output/259508",
• size = "33 pages",
• abstract = "Analogue circuits synthesised by means of open-ended evolutionary algorithms often have unconventional designs. However, these circuits are typically highly compact, and the general nature of the evolutionary search methodology allows such designs to be used in many applications. Previous work on the evolutionary design of analogue circuits has focused on circuits that lie well within analogue application domain. In contrast, our paper considers the evolution of analogue circuits that are usually synthesised in digital logic. We have developed four computational circuits, two voltage distributor circuits and a time interval metre circuit. The approach, despite its simplicity, succeeds over the design tasks owing to the employment of substructure reuse and incremental evolution. Our findings expand the range of applications that are considered suitable for evolutionary electronics.",
• notes = "PhD in ES EHW 2011",
• affiliation = "School of Engineering and Design, Brunel University, Uxbridge, Middlesex UB83PH, UK",
• uk_research_excellence_2014 = "This paper presents a novel solution method combining classical genetic algorithm, substructure reuse and incremental evolution to a well-known problem in EHW community. The method was implemented using C++ and PSpice, as requested by Creative Machines Lab, Cornell University, USA. The approach is based on simulation of analogue circuit for a given graphically described signal. If the problem can be slightly rephrased as the analysis of sound waves for pitch identification, this approach can be successfully applied to completely new problem domains. This work led to an on-going three-year project on Sound Recognition fully sponsored by Scientific-Technical Centre REB, Kazakhstan.",

}

Genetic Programming entries for Yerbol A Sapargaliyev Tatiana Kalganova

Citations