Evolving Circuits on a Field Programmable Analog Array Using Genetic Programming PDF Download
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Author: Michael Allen Terry
Publisher:
ISBN:
Category :
Languages : en
Pages : 60
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Book Description
This thesis describes the design and implementation of the Genetic Programming Intrinsic Circuit (GPIC) design system. Inspired by a number of recent advances in the field of Evolvable Hardware, the intended purpose of GPIC is to automate the design of analog circuits with minimal domain knowledge, computational resources, and cost using Genetic Programming with candidate solutions implemented in real hardware. This system has been constructed out of commercially available hardware and software, and the components were integrated through the development of a modular device-independent software system. The fitness evaluations of the candidate solutions of the Genetic Programming module are realized through a C interface to a National Instruments Data Acquisition Card. This Genetic Programming approach to analog circuit design decreases the fitness evaluation time of previous approaches by substituting expensive circuit simulation for real-time hardware testing. Since performing fitness evaluations in simulation is limited by the known model for a given environment, intrinsic testing provides additional benefit through the inherent incorporation of any unknown environmental conditions during tests. This feature is especially important for autonomous systems in unknown environments, and systems that must perform well in extreme environments.
Author: Michael Allen Terry
Publisher:
ISBN:
Category :
Languages : en
Pages : 60
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Book Description
This thesis describes the design and implementation of the Genetic Programming Intrinsic Circuit (GPIC) design system. Inspired by a number of recent advances in the field of Evolvable Hardware, the intended purpose of GPIC is to automate the design of analog circuits with minimal domain knowledge, computational resources, and cost using Genetic Programming with candidate solutions implemented in real hardware. This system has been constructed out of commercially available hardware and software, and the components were integrated through the development of a modular device-independent software system. The fitness evaluations of the candidate solutions of the Genetic Programming module are realized through a C interface to a National Instruments Data Acquisition Card. This Genetic Programming approach to analog circuit design decreases the fitness evaluation time of previous approaches by substituting expensive circuit simulation for real-time hardware testing. Since performing fitness evaluations in simulation is limited by the known model for a given environment, intrinsic testing provides additional benefit through the inherent incorporation of any unknown environmental conditions during tests. This feature is especially important for autonomous systems in unknown environments, and systems that must perform well in extreme environments.
Author: Ricardo Salem Zebulum
Publisher: CRC Press
ISBN: 1420041592
Category : Technology & Engineering
Languages : en
Pages : 320
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Book Description
From the explosion of interest, research, and applications of evolutionary computation a new field emerges-evolutionary electronics. Focused on applying evolutionary computation concepts and techniques to the domain of electronics, many researchers now see it as holding the greatest potential for overcoming the drawbacks of conventional design techniques. Evolutionary Electronics: Automatic Design of Electronic Circuits and Systems by Genetic Algorithms formally introduces and defines this area of research, presents its main challenges in electronic design, and explores emerging technologies. It describes the evolutionary computation paradigm and its primary algorithms, and explores topics of current interest, such as multi-objective optimization. The authors examine numerous evolutionary electronics applications, draw conclusions about those applications, and sketch the future of evolutionary computation and its applications in electronics. In coming years, the appearance of more and more advanced technologies will increase the complexity of optimization and synthesis problems, and evolutionary electronics will almost certainly become a key to solving those problems. Evolutionary Electronics is your key to discovering and unlocking the potential of this promising new field.
Author: John R. Koza
Publisher: Morgan Kaufmann
ISBN: 9781558605435
Category : Computers
Languages : en
Pages : 1516
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Book Description
Genetic programming (GP) is a method for getting a computer to solve a problem by telling it what needs to be done instead of how to do it. Koza, Bennett, Andre, and Keane present genetically evolved solutions to dozens of problems of design, control, classification, system identification, and computational molecular biology. Among the solutions are 14 results competitive with human-produced results, including 10 rediscoveries of previously patented inventions.
Author: Gregory S. Hornby
Publisher: Springer Science & Business Media
ISBN: 3540858563
Category : Computers
Languages : en
Pages : 458
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Book Description
This book constitutes the refereed proceedings of the 8th International Conference on Evolvable Systems, ICES 2008, held in Prague, Czech Republic, in September 2008. The 28 revised full papers and 14 revised poster papers presented were carefully reviewed and selected from 52 submissions. The papers are organized in topical sections on evolution of analog circuits, evolution of digital circuits, hardware-software codesign and platforms for adaptive systems, evolutionary robotics, development, real-world applications, evolutionary networking, evolvable artificial neural networks, and transistor-level circuit evolution.
Author: Conor Ryan
Publisher: Springer Science & Business Media
ISBN: 354000971X
Category : Computers
Languages : en
Pages : 499
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Book Description
This book constitutes the refereed proceedings of the 6th European Conference on Genetic Programming, EuroGP 2003, held in Essex, UK in April 2003. The 45 revised papers presented were carefully reviewed and selected from 61 submissions. All current aspects of genetic programming and genetic algorithms are addressed, ranging from foundational, theoretical, and methodological issues to advanced applications in various fields.
Author: Moshe Sipper
Publisher: Springer Science & Business Media
ISBN: 9783540649540
Category : Computers
Languages : en
Pages : 404
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Book Description
This book constitutes the refereed proceedings of the Second International Conference on Evolvable Systems: From Biology to Hardware, ICES '98, held in Lausanne, Switzerland in September 1998. The 38 revised papers presented were carefully selected for inclusion in the book from numerous submissions. The papers are organized in topical sections on evaluation of digital systems, evolution of analog systems, embryonic electronics, bio-inspired systems, artifical neural networks, adaptive robotics, adaptive hardware platforms, and molecular computing.
Author: John R. Koza
Publisher: Springer Science & Business Media
ISBN: 0387264175
Category : Computers
Languages : en
Pages : 607
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Book Description
Genetic Programming IV: Routine Human-Competitive Machine Intelligence presents the application of GP to a wide variety of problems involving automated synthesis of controllers, circuits, antennas, genetic networks, and metabolic pathways. The book describes fifteen instances where GP has created an entity that either infringes or duplicates the functionality of a previously patented 20th-century invention, six instances where it has done the same with respect to post-2000 patented inventions, two instances where GP has created a patentable new invention, and thirteen other human-competitive results. The book additionally establishes: GP now delivers routine human-competitive machine intelligence GP is an automated invention machine GP can create general solutions to problems in the form of parameterized topologies GP has delivered qualitatively more substantial results in synchrony with the relentless iteration of Moore's Law
Author: Garrison W. Greenwood
Publisher: John Wiley & Sons
ISBN: 0470049707
Category : Computers
Languages : en
Pages : 210
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Book Description
Introduction to Evolvable Hardware: A Practical Guide for Designing Self-Adaptive Systems provides a fundamental introduction for engineers, designers, and managers involved in the development of adaptive, high reliability systems. It also introduces the concepts of evolvable hardware (EHW) to new researchers in a structured way. With this practical book, you’ll be able to quickly apply the techniques presented to existing design problems.
Author: Rami Abielmona
Publisher:
ISBN:
Category :
Languages : en
Pages : 0
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Book Description
Genetic algorithm Synthesis (GaS) is presented in this thesis. GaS is based on a hardware implementation of a genetic algorithm (GA), aimed at evolving the logic circuit of a defined input function, while minimizing the total number of resources utilized on the underlying hardware platform. A GA bases its operation on society itself, attempting to imitate natural selection in computing systems [1]. It has been found that GAs are very good search techniques, to be used when either the search space is vast or the present deterministic techniques are too restrictive. The field of logic synthesis, as well as technology mapping onto a field-programmable gate array (FPGA), contain both of the aforementioned obstacles, and thus a new method must be realized to overcome these obstacles. GaS is the integration of a multitude of technologies, and the realization of a solution for the automated synthesis of combinational logic circuits. The work falls under the evolvable hardware (EHW) [2] domain which is a very novel field of research. The presented system is fully functional, and has been prototyped onto a computing platform, which embeds itself into a personal computer, with the main communications path being the local bus. The front-end of GaS consists of a command-line interface, whence the user inputs both the truth table representation of the Boolean function to be evolved, as well as a few initializing parameters. The system then proceeds to evolve a solution for the user's problem. Experimental results are presented in this thesis. In simple terms, the speedup factors are very promising, and in future versions of the system, the improvements that could be realized will usher in a new computing paradigm: evolvable computing.
Author: Lishan Kang
Publisher: Springer Science & Business Media
ISBN: 3540746250
Category : Computers
Languages : en
Pages : 459
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Book Description
This book constitutes the refereed proceedings of the 7th International Conference on Evolvable Systems, ICES 2007, held in Wuhan, China, in September 2007. The 41 revised full papers collected in this volume are organized in topical sections on digital hardware evolution, analog hardware evolution, bio-inspired systems, mechanical hardware evolution, evolutionary design, evolutionary algorithms in hardware design, and hardware implementation of evolutionary algorithms.
