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6th European Conference on genetic programming, EuroGP 2003

作者： Streeter, Matthew J. Genetic Programming Inc United States

ISBN: (纸本)354000971X

This paper discusses the underlying pressures responsible for code growth in genetic programming, and shows how an understanding of these pressures can be used to use to eliminate code growth while simultaneously improving performance. We begin with a discussion of two distinct components of code growth and the extent to which each component is relevant in practice. We then define the concept of resilience in GP trees, and show that the buildup of resilience is essential for code growth. We present simple modifications to the selection procedures used by GP that eliminate bloat without hurting performance. Finally, we show that eliminating bloat can improve the performance of genetic programming by a factor that increases as the problem is scaled in difficulty. © 2003, Springer-Verlag Berlin Heidelberg, All rights Reserved.

关键词： genetic programming

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Automatic synthesis, placement, and routing of an amplifier circuit by means of genetic programming 3

Automatic synthesis, placement, and routing of an amplifier ...

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3rd International Conference on Evolvable Systems, ICES 2000

作者： Bennett, Forrest H. Koza, John R. Yu, Jessen Mydlowec, William Genetic Programming Inc FX Palo Alto Laboratory Palo AltoCA United States Stanford University StanfordCA United States Genetic Programming Inc Los AltosCA United States

ISBN: (纸本)3540673385

The complete design of a circuit typically includes the tasks of creating the circuit's placement and routing as well as creating its topology and component sizing. Design engineers perform these four tasks sequentially. Each of these four tasks is, by itself, either vexatious or computationally intractable. This paper describes an automatic approach in which genetic programming starts with a high-level statement of the requirements for the desired circuit and simultaneously creates the circuit's topology, component sizing, placement, and routing as part of a single integrated design process. The approach is illustrated using the problem of designing a 60 decibel amplifier. The fitness measure considers the gain, bias, and distortion of the candidate circuit as well as the area occupied by the circuit after the automatic placement and routing. © Springer-Verlag Berlin Heidelberg 2000.

关键词： genetic programming

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Use of genetic programming for automatic synthesis of post-2000 patented analog electrical circuits and patentable controllers

Use of genetic programming for automatic synthesis of post-2...

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8th International Conference on Computer Aided Optimum Design of Structures

作者： Streeter, MJ Keane, MA Koza, JR Genetic Programming Inc. United States Econometrics Inc. United States Stanford University United States

ISBN: (纸本)1853129720

This paper describes how we used genetic programming to automatically create the design of both the structure (topology) and sizing (component values) of analog electrical circuits that duplicate the functionality of five post-2000 patented inventions. The paper also describes how we used genetic programming to automatically create the design of both the structure (topology) and tuning (parameter values) of a general-purpose controller that outperforms conventional controllers for industrially representative plants.

关键词： Networks (circuits)

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Evolution of a controller with a free variable using genetic programming 3rd

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3rd European Conference on genetic programming, EuroGP 2000

作者： Koza, John R. Yu, Jessen Keane, Martin A. Mydlowec, William Stanford University StanfordCA United States Genetic Programming Inc. Los AltosCA United States Econometrics Inc. ChicagoIL United States Genetic Programming Inc. Los AltosCA United States

ISBN: (纸本)3540673393

A mathematical formula containing one or more free variables is "general" in the sense that it provides a solution to an entire category of problems. For example, the familiar formula for solving a quadratic equation contains free variables representing the equation’s coefficients. Previous work has demonstrated that genetic programming can automatically synthesize the design for a controller consisting of a topological arrangement of signal processing blocks (such as integrators, differentiators, leads, lags, gains, adders, inverters, and multipliers), where each block is further specified ("tuned") by a numerical component value, and where the evolved controller satisfies user-specified requirements. The question arises as to whether it is possible to use genetic programming to automatically create a "generalized" controller for an entire category of such controller design problems—instead of a single instance of the problem. This paper shows, for an illustrative problem, how genetic programming can be used to create the design for both the topology and tuning of controller, where the controller contains a free variable. © Springer-Verlag Berlin Heidelberg 2000.

关键词： genetic programming

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Automated re-invention of a previously patented optical lens system using genetic programming

Automated re-invention of a previously patented optical lens...

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8th European Conference on genetic programming, EuroGP 2005

作者： Al-Sakran, Sameer H. Koza, John R. Jones, Lee W. Genetic Programming Inc. Mountain View CA United States Stanford University Stanford CA United States

The three dozen or so known instances of human-competitive designs of antennas, mechanical systems, circuits, and controllers produced by genetic programming suggest the question of whether genetic programming can be extended to the design of complex structures from other fields. This paper describes how genetic programming can be used to automatically create a complete design for an optical lens system "from scratch" - without starting from a pre-existing good design and without pre-specifying the number of lenses, the layout of lenses, or the numerical parameters of the lenses. More particularly, genetic programming created an optical system that infringed a previous patent (the Konig patent) and improved upon another previous patent (the Tackaberry-Muller patent). The genetically evolved design is an example of a human-competitive result produced by genetic programming in the field of optical design. © Springer-Verlag Berlin Heidelberg 2005.

关键词： genetic algorithms

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genetic programming as a darwinian invention machine 2nd

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2nd European Workshop on genetic programming, EuroGP 1999

作者： Koza, John R. Bennett, Forrest H. Stiffelman, Oscar Section on Medical Informatics Department of Medicine StanfordCA94305 United States Genetic Programming Inc Los AltosCA94023 United States Computer Science Department Stanford University StanfordCA94305 United States

ISBN: (纸本)3540658998

genetic programming is known to be capable of creating designs that satisfy prespecified high-level design requirements for analog electrical circuits and other complex structures. However, in the real world, it is often important that a design satisfy various non-technical requirements. One such requirement is that a design not possess the key characteristics of any previously known design. This paper shows that genetic programming can be used to generate novel solutions to a design problem so that genetic programming may be potentially used as an invention machine. This paper turns the clock back to the period just before the time (1917) when George Campbell of American Telephone and Telegraph invented and patented the design for an electrical circuit that is now known as the ladder filter. genetic programming is used to reinvent the Campbell filter. The paper then turns the clock back to the period just before the time (1928) when Wilhelm Cauer invented and patented the elliptic filter. genetic programming is then used to reinvent a technically equivalent filter that avoids the key characteristics of then-preexisting Campbell filter. genetic programming can be used as an invention machine by employing a two-part fitness measure that incorporates both the degree to which an individual in the population satisfies the given technical requirements and the degree to which the individual does not possess the key characteristics of preexisting technology. © Springer-Verlag Berlin Heidelberg 1999.

关键词： genetic programming

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Automatic synthesis of both the topology and parameters for a controller for a three-lag plant with a five-second delay using genetic programming

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EvoWorkshops 2000: 2nd European Workshop on Evolutionary Computation in Image Analysis and Signal Processing, EvoIASP 2000, 1st European Workshop on Evolutionary Computation in Systems, Control and Drives in Industry, Evo-SCONDI 2000, 2nd European Workshop on Evolutionary Telecommunications, EvoTel 2000, 1st European Workshop on Evolutionary Scheduling and Timetabling, EvoStim 2000, 3rd European Workshop on Evolutionary Robotics, EvoRob 2000 and 1st European Workshop on Evolutionary Aeronautics, EvoFlight 2000 held in conjunction with European Conference on genetic programming, EuroGP 2000 and 3rd International Conference on Evolvable Systems, ICES 2000

作者： Koza, John R. Keane, Martin A. Yu, Jessen Mydlowec, William Bennett, Forrest H. Stanford University StanfordCA United States Econometrics Inc ChicagoIL United States Genetic Programming Inc Los AltosCA United States Genetic Programming Inc Los AltosCA United States FX Palo Alto Laboratory Palo AltoCA United States

ISBN: (纸本)3540673539

This paper describes how the process of synthesizing the design of both the topology and the numerical parameter values (tuning) for a controller can be automated by using genetic programming. genetic programming can be used to automatically make the decisions concerning the total number of signal processing blocks to be employed in a controller, the type of each block, the topological interconnections between the blocks, and the values of all parameters for all blocks requiring parameters. In synthesizing the design of controllers, genetic programming can simultaneously optimize prespecified performance metrics (such as minimizing the time required to bring the plant output to the desired value), satisfy time-domain constraints (such as overshoot and disturbance rejection), and satisfy frequency domain constraints. Evolutionary methods have the advantage of not being encumbered by preconceptions that limit its search to well-traveled paths. genetic programming is applied to an illustrative problem involving the design of a controller for a three-lag plant with a significant (five-second) time delay in the external feedback from the plant to the controller. A delay in the feedback makes the design of an effective controller especially difficult. © Springer-Verlag Berlin Heidelberg 2000.

关键词： Controllers

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Automated synthesis of both the topology and numerical parameters for seven patented optical lens systems using genetic programming

Automated synthesis of both the topology and numerical param...

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Current Developments in Lens Design and Optical Engineering VI

作者： Jones, Lee W. Al-Sakran, Sameer H. Koza, John R. Genetic Programming Inc. Mountain View CA 94041 United States Stanford University Stanford CA 94305 United States

This paper describes how genetic programming was used as an automated invention machine to synthesize both the topology and numerical parameters for seven previously patented optical lens systems, including one aspherical system and one issued in the 21st-century. Two of the evolved optical lens systems infringe the claims of the patents and the others are novel solutions that satisfy the design goals stated in the patent. The automatic synthesis was done "from scratch" - that is, without starting from a pre-existing good design and without pre-specifying the number of lenses, the topological layout of the lenses, or the numerical parameters of the lenses. genetic programming is a form of evolutionary computation used to automatically solve problems. It starts from a high-level statement of what needs to be done and progressively breeds a population of candidate individuals over many generations using the principle of Darwinian natural selection and genetic recombination. The paper describes how genetic programming created eyepieces that duplicated the functionality of seven previously patented lens systems. The seven designs were created in a substantially similar and routine way, suggesting that the use of genetic programming in the automated design of both the topology and numerical parameters for optical lens systems may have widespread utility.

关键词： Optical instrument lenses

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Automatic Creation of Human-Competitive Programs and Controllers by Means of genetic programming

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genetic programming and Evolvable Machines 2000年第1期1卷 121-164页

作者： Koza, John R. Keane, Martin A. Yu, Jessen Bennett, Forrest H Mydlowec, William Department of Electrical Engineering School of Engineering and Department of Medicine School of Medicine Stanford University Stanford Econometrics Inc. Chicago Genetic Programming Inc. Los Altos Genetic Programming Inc. Los Altos California

genetic programming is an automatic method for creating a computer program or other complex structure to solve a problem. This paper first reviews various instances where genetic programming has previously produced human-competitive results. It then presents new human-competitive results involving the automatic synthesis of the design of both the parameter values (i.e., tuning) and the topology of controllers for two illustrative problems. Both genetically evolved controllers are better than controllers designed and published by experts in the field of control using the criteria established by the experts. One of these two controllers infringes on a previously issued patent. Other evolved controllers duplicate the functionality of other previously patented controllers. The results in this paper, in conjunction with previous results, reinforce the prediction that genetic programming is on the threshold of routinely producing human-competitive results and that genetic programming can potentially be used as an “invention machine” to produce patentable new inventions.

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Automatic computational discovery of chemical reaction networks using genetic programming

Automatic computational discovery of chemical reaction netwo...

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作者： Koza, John R. Mydlowec, William Lanza, Guido Yu, Jessen Keane, Martin A. Department of Medicine Biomedical Informatics Stanford University Stanford CA United States Genetic Programming Inc. Los Altos CA United States Econometrics Inc. Chicago IL United States

ISBN: (纸本)9783540739197

The concentrations of substances participating in networks of chemical reactions are often modeled by non-linear continuous-time differential equations. Recent work has demonstrated that genetic programming is capable of automatically creating complex networks (such as analog electrical circuits and controllers) whose behavior is modeled by linear and non-linear continuous-time differential equations and whose behavior matches prespecified output values. This chapter demonstrates that it is possible to automatically induce (reverse engineer) a network of chemical reactions from observed time-domain data. genetic programming starts with observed time-domain concentrations of substances and automatically creates both the topology of the network of chemical reactions and the rates of each reaction of a network such that the behavior of the automatically created network matches the observed time-domain data. Specifically, genetic programming automatically created a network of four chemical reactions that consume glycerol and fatty acid as input, use ATP as a cofactor, and produce diacyl-glycerol as the final product. The network was created from 270 data points. The topology and sizing of the entire network was automatically created using the time-domain concentration values of diacyl-glycerol (the final product). The automatically created network contains three key topological features, including an internal feedback loop, a bifurcation point where one substance is distributed to two different reactions, and an accumulation point where one substance is accumulated from two sources. © Springer-Verlag Berlin Heidelberg 2007.

关键词： Natural sciences computing

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