The genetic algorithm and biological development
Proceedings of the Second International Conference on Genetic Algorithms on Genetic algorithms and their application
Genetic programming: on the programming of computers by means of natural selection
Genetic programming: on the programming of computers by means of natural selection
Genetic programming (videotape): the movie
Genetic programming (videotape): the movie
Introduction to the design of transconductor-capacitator filters
Introduction to the design of transconductor-capacitator filters
Genetic programming II (videotape): the next generation
Genetic programming II (videotape): the next generation
Genetic programming II: automatic discovery of reusable programs
Genetic programming II: automatic discovery of reusable programs
Trends in current analog design—a panel debate
Analog Integrated Circuits and Signal Processing
Genetic programming: an introduction: on the automatic evolution of computer programs and its applications
Quantum computing applications of genetic programming
Advances in genetic programming
The Spice Book
Adaptation in Natural and Artificial Systems: An Introductory Analysis with Applications to Biology, Control and Artificial Intelligence
Genetic Programming III: Darwinian Invention & Problem Solving
Genetic Programming III: Darwinian Invention & Problem Solving
The sizing rules method for analog integrated circuit design
Proceedings of the 2001 IEEE/ACM international conference on Computer-aided design
ICES '01 Proceedings of the 4th International Conference on Evolvable Systems: From Biology to Hardware
Genetic programming: a paradigm for genetically breeding populations of computer programs to solve problems
Genetic Programming IV: Routine Human-Competitive Machine Intelligence
Genetic Programming IV: Routine Human-Competitive Machine Intelligence
Automatic Quantum Computer Programming: A Genetic Programming Approach (Genetic Programming)
Automatic Quantum Computer Programming: A Genetic Programming Approach (Genetic Programming)
GECCO '96 Proceedings of the 1st annual conference on Genetic and evolutionary computation
The invention of CMOS amplifiers using genetic programming and current-flow analysis
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
A constraint-based approach to feasibility assessment in preliminary design
Artificial Intelligence for Engineering Design, Analysis and Manufacturing
Development of an engine crankshaft in a framework of computer-aided innovation
Computers in Industry
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Some designs are sufficiently creative that they are considered to be inventions. The invention process is typically characterized by a singular moment when the prevailing thinking concerning a long-standing problem is, in a “flash of genius,” overthrown and replaced by a new approach that could not have been logically deduced from what was previously known. This paper discusses such logical discontinuities using an example based on the history of one of the most important inventions of the 20th century in electrical engineering, namely, the invention of negative feedback by AT&T's Harold S. Black. This 1927 invention overthrew the then prevailing idiom of positive feedback championed by Westinghouse's Edwin Howard Armstrong. The paper then shows how this historically important discovery can be readily replicated by an automated design and invention technique patterned after the evolutionary process in nature, namely, genetic programming. Genetic programming employs Darwinian natural selection along with analogs of recombination (crossover), mutation, gene duplication, gene deletion, and mechanisms of developmental biology to breed an ever improving population of structures. Genetic programming rediscovers negative feedback by conducting an evolutionary search for a structure that satisfies Black's stated high-level goal (i.e., reduction of distortion in amplifiers). Like evolution in nature, genetic programming conducts its search probabilistically without resort to logic using a process that is replete with logical discontinuities. The paper then shows that genetic programming can routinely produce many additional inventive and creative results. In this regard, the paper discusses the automated rediscovery of numerous 20th-century patented inventions involving analog electrical circuits and controllers, the Sallen–Key filter, and six 21st-century patented inventions.