CIRCUITS et al., 1996 - Google Patents
Econometrics Inc., Chicago, Illinois USACIRCUITS et al., 1996
- Document ID
- 4916800180820102277
- Author
- CIRCUITS A
- KOZA J
- BENNETT III F
- ANDRE D
- Publication year
- Publication venue
- Artificial Intelligence in Design’96
External Links
Snippet
This paper describes an automated process for designing analog electrical circuits based on the principles of natural selection, sexual recombination, and developmental biology. The design process starts with the random creation of a large population of program trees …
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/50—Computer-aided design
- G06F17/5009—Computer-aided design using simulation
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06N—COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computer systems based on biological models
- G06N3/02—Computer systems based on biological models using neural network models
- G06N3/04—Architectures, e.g. interconnection topology
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06N—COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computer systems based on biological models
- G06N3/02—Computer systems based on biological models using neural network models
- G06N3/08—Learning methods
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06N—COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computer systems based on biological models
- G06N3/12—Computer systems based on biological models using genetic models
- G06N3/126—Genetic algorithms, i.e. information processing using digital simulations of the genetic system
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/50—Computer-aided design
- G06F17/5045—Circuit design
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06N—COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N5/00—Computer systems utilising knowledge based models
- G06N5/02—Knowledge representation
- G06N5/022—Knowledge engineering, knowledge acquisition
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06N—COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N5/00—Computer systems utilising knowledge based models
- G06N5/04—Inference methods or devices
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y10—TECHNICAL SUBJECTS COVERED BY FORMER USPC
- Y10S—TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y10S706/00—Data processing: artificial intelligence
- Y10S706/902—Application using ai with detail of the ai system
- Y10S706/911—Nonmedical diagnostics
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Koza et al. | Automated design of both the topology and sizing of analog electrical circuits using genetic programming | |
| US5867397A (en) | Method and apparatus for automated design of complex structures using genetic programming | |
| Koza et al. | Automated synthesis of analog electrical circuits by means of genetic programming | |
| Koza et al. | Four problems for which a computer program evolved by genetic programming is competitive with human performance | |
| Bennett III et al. | Evolution of a 60 decibel op amp using genetic programming | |
| US7206770B2 (en) | Apparatus for generating sequences of elements | |
| Koza et al. | Synthesis of topology and sizing of analog electrical circuits by means of genetic programming | |
| Koza et al. | Toward evolution of electronic animals using genetic programming | |
| Zhang et al. | Optimal concurrent design based upon distributed product development life-cycle modeling | |
| Uysal et al. | Comparison of genetic algorithm and particle swarm optimization for bicriteria permutation flowshop scheduling problem | |
| Hu et al. | Open-ended robust design of analog filters using genetic programming | |
| Koza et al. | Evolution using genetic programming of a low-distortion, 96 decibel operational amplifier | |
| Todd et al. | Directed multiple objective search of design spaces using genetic algorithms and neural networks | |
| Terway et al. | Dispatch: Design space exploration of cyber-physical systems | |
| Koza et al. | Automatic synthesis, placement, and routing of electrical circuits by means of genetic programming | |
| CIRCUITS et al. | Econometrics Inc., Chicago, Illinois USA | |
| Wang et al. | Automated analog circuit design using two-layer genetic programming | |
| CN115879412B (en) | A layout-level circuit diagram size parameter optimization method based on transfer learning | |
| Perkowski et al. | Evolvable hardware or learning hardware? induction of state machines from temporal logic constraints | |
| Vaze | Analog circuit design using genetic algorithm: modified | |
| Koza et al. | Design of a 96 decibel operational amplifier and other problems for which a computer program evolved by genetic programming is competitive with human performance | |
| Koza et al. | Human-competitive evolvable hardware created by means of genetic programming | |
| Keane | creation of a complex structure to satisfy user-defined requirements. The design process is usually viewed as requiring human intelligence. Indeed | |
| Torres et al. | Comparison of two evolvable systems in the automated analog circuit synthesis | |
| Sushama et al. | An automation approach for architecture discovery in software design using genetic algorithm |