Results 21  30
of
37
Design of a 96 Decibel Operational Amplifier and Other Problems for Which a Computer Program Evolved by Genetic Programming is Competitive with
 Human Performance, presented at the 1996 JapanChina Joint International Workshop on Information Systems at the Ashikaga: Ashikaga Institute of Technology
"... It would be desirable if computers could solve problems without the need for a human to write the detailed programmatic steps. That is, it would be desirable to have a domainindependent automatic programming technique in which "What You Want Is What You Get " ("WYWIWYG " – pronounced "woweeewig" ..."
Abstract

Cited by 3 (1 self)
 Add to MetaCart
It would be desirable if computers could solve problems without the need for a human to write the detailed programmatic steps. That is, it would be desirable to have a domainindependent automatic programming technique in which "What You Want Is What You Get " ("WYWIWYG " – pronounced "woweeewig"). Genetic programming is such a technique. This paper surveys three recent examples of problems (one from the field of cellular automata and two from the fields of molecular biology) in which genetic programming evolved a computer program that produced results that were slightly better than human performance for the same problem. This paper then discusses a fourth problem in greater detail and demonstrates that a design for a lowdistortion 96 decibel op amp (including both topology and component sizing) can be evolved using genetic programming. The information that the user must supply to genetic programming consists of the parts bin (transistors, resistors, and capacitors) and the fitness measure for the major operating characteristics of an op amp. 1.
Automatic synthesis of electrical circuits containing a free variable using genetic programming
 Proceedings of the Genetic and Evolutionary Computation Conference, 477–484. Las Vegas
, 2000
"... A mathematical formula containing one or more free variables is "general " in the sense that it represents the solution to all instances of a problem (instead of just the solution of a single instance of the problem). For example, the familiar formula for solving a quadratic equation contains free v ..."
Abstract

Cited by 3 (0 self)
 Add to MetaCart
A mathematical formula containing one or more free variables is "general " in the sense that it represents the solution to all instances of a problem (instead of just the solution of a single instance of the problem). For example, the familiar formula for solving a quadratic equation contains free variables representing the coefficients of the tobesolved equation. This paper demonstrates, using an illustrative problem, that genetic programming can automatically create the design for both the topology and component values for an analog electrical circuit in which the value of each component in the evolved circuit is specified by a mathematical expression containing a free variable. That is, genetic programming is used to evolve a general parameterized circuit that satisfies the problem's highlevel requirements. The evolved circuit has been crossvalidated on unseen values of the free variable. 1
Automatic Synthesis of the Topology and Sizing for Analog Electrical Circuits using Genetic Programming
, 1999
"... Design is a major activity of practicing engineers. The design process entails creation of a complex structure to satisfy userdefined requirements. Since the design process typically entails tradeoffs between competing considerations, the end product of ..."
Abstract

Cited by 2 (0 self)
 Add to MetaCart
Design is a major activity of practicing engineers. The design process entails creation of a complex structure to satisfy userdefined requirements. Since the design process typically entails tradeoffs between competing considerations, the end product of
Application of the Univariate Marginal Distribution Algorithm to Analog Circuit Design
"... The approach to computer aided analog circuit design on the base of univariate algorithms was derived by the analysing the mathematical principles behind recombination. A Bayesian prior using for the estimations of the probability distribution is equivalent to having mutation for the genetic algorit ..."
Abstract

Cited by 2 (1 self)
 Add to MetaCart
The approach to computer aided analog circuit design on the base of univariate algorithms was derived by the analysing the mathematical principles behind recombination. A Bayesian prior using for the estimations of the probability distribution is equivalent to having mutation for the genetic algorithms. In this paper the relation between a success rate and a mutation one is considered for analog circuit design. Practical illustration of the use of this approach is demonstrated for filter design. Experiments indicate that mutation and elitism increase the performance of the algorithms and decrease the dependence of the correct choice of the population size. 1.
Automation in MixedSignal Design: Challenges and Solutions in the Wake of the Nano Era
"... The use of CMOS nanometer technologies at 65 nm and below will pose serious challenges on the design of mixedsignal integrated systems in the very near future. Rising design complexities, tightening timetomarket constraints, leakage power, increasing technology tolerances, and reducing supply vol ..."
Abstract

Cited by 1 (1 self)
 Add to MetaCart
The use of CMOS nanometer technologies at 65 nm and below will pose serious challenges on the design of mixedsignal integrated systems in the very near future. Rising design complexities, tightening timetomarket constraints, leakage power, increasing technology tolerances, and reducing supply voltages are key challenges that designers face. Novel types of devices, new process materials and new reliability issues are next on the horizon. We discuss new design methodologies and EDA tools that are being or need to be developed to address the problems of designing such mixedsignal integrated systems.
Optimal RF design using Smart Evolutionary Algorithms
 In Proc. Design Automation Conference, 2000
, 2000
"... This paper presents an optimization algorithm that is able to significantly increase the speed of RF circuit optimizations. The algorithm consists of a series of consecutive evolutionary optimizations of the circuit itself and of a modeled version thereof. The speed increase arises from the differen ..."
Abstract

Cited by 1 (0 self)
 Add to MetaCart
This paper presents an optimization algorithm that is able to significantly increase the speed of RF circuit optimizations. The algorithm consists of a series of consecutive evolutionary optimizations of the circuit itself and of a modeled version thereof. The speed increase arises from the difference in evaluation time between the real simulation and the fit evaluation. As circuit approximation, behavioral models are used instead of polynomial expressions, allowing to put some "design knowledge" into the optimization. gaRFeeld is a tool implementing this smart evolutionary algorithm for RF circuits. Finally some experiments performed with gaRFeeld are illustrated for the optimization of a Low Noise Amplifier.
VASE: VHDLAMS Synthesis Environment
"... this paper we present a family of Mixedsignal (mixed analog/digital) synthesis tools being developed at the University of Cincinnati. The VASE (VHDLAMS Synthesis Environment) project involves the development of a vertically integrated synthesis environment centered around the emerging VHDLAMS sta ..."
Abstract
 Add to MetaCart
this paper we present a family of Mixedsignal (mixed analog/digital) synthesis tools being developed at the University of Cincinnati. The VASE (VHDLAMS Synthesis Environment) project involves the development of a vertically integrated synthesis environment centered around the emerging VHDLAMS standard for specification of analog and mixed signal systems. The unique contributions of this research include the following:
Fourteen Instances where Genetic Programming has Produced Results that are Competitive with Results Produced by Humans
, 1998
"... this paper refers to 14 instances where genetic programming has produced results that are competitive with those produced by human engineers, designers, mathematicians, or programmers ..."
Abstract
 Add to MetaCart
this paper refers to 14 instances where genetic programming has produced results that are competitive with those produced by human engineers, designers, mathematicians, or programmers
Computer Science Dept.
 Proceedings of Joint Conference of Information Sciences
, 1997
"... Automated synthesis of analog electronic circuits is recognized as a difficult problem. Genetic programming was used to evolve both the topology and the sizing (numerical values) for each component of a circuit that can perform source identification by correctly classify an incoming signal ..."
Abstract
 Add to MetaCart
Automated synthesis of analog electronic circuits is recognized as a difficult problem. Genetic programming was used to evolve both the topology and the sizing (numerical values) for each component of a circuit that can perform source identification by correctly classify an incoming signal into categories.