Evolution of a Time-Optimal Fly-To Controller Circuit using Genetic Programming

Most problem-solving techniques used by engineers involve the introduction of analytical and mathematical representations and techniques that are entirely foreign to the problem at hand. Genetic programming offers the possibility of solving problems in a more direct way using the given ingredients of the problem. This idea is explored by considering the problem of designing an electrical controller to implement a solution to the time-optimal fly-to

[1]  J. K. Kinnear,et al.  Advances in Genetic Programming , 1994 .

[2]  John R. Koza,et al.  Genetic programming - on the programming of computers by means of natural selection , 1993, Complex adaptive systems.

[3]  John R. Koza,et al.  Parallel genetic programming: a scalable implementation using the transputer network architecture , 1996 .

[4]  John C. Clements,et al.  Minimum-time turn trajectories to fly-to-points , 1990 .

[5]  Huebner,et al.  Proceedings of the First Annual Conference of the Wharton School of Finance and Commerce , 2022 .

[6]  O. Aaserud,et al.  Trends in current analog design - a panel debate , 1995 .

[7]  John R. Koza,et al.  Genetic programming II (videotape): the next generation , 1994 .

[8]  John R. Koza,et al.  Automated Design of Both the Topology and Sizing of Analog Electrical Circuits Using Genetic Programming , 1996 .

[9]  Una-May O'Reilly,et al.  Genetic Programming II: Automatic Discovery of Reusable Programs. , 1994, Artificial Life.

[10]  John R. Koza,et al.  Genetic Programming: The Movie , 1992 .

[11]  Christopher G. Langton,et al.  Artificial life V : proceedings of the Fifth International Workshop on the Synthesis and Simulation of Living Systems , 1996 .

[12]  Fay Sudweeks,et al.  Artificial Intelligence in Design ’96 , 1996, Springer Netherlands.

[13]  Marco Tomassini,et al.  Towards Evolvable Hardware , 1996, Lecture Notes in Computer Science.

[14]  John R. Koza,et al.  Automated WYWIWYG design of both the topology and component values of electrical circuits using genetic programming , 1996 .

[15]  John R. Koza,et al.  Use of automatically defined functions and architecture-altering operations in automated circuit synthesis with genetic programming , 1996 .

[16]  Frédéric Gruau.  Artificial Cellular Development in Optimization and Compilation , 1995, Towards Evolvable Hardware.

[17]  John R. Koza,et al.  Architecture-Altering Operations for Evolving the Architecture of a Multi-Part Program in Genetic Programming , 1994 .

[18]  John H. Holland,et al.  Adaptation in Natural and Artificial Systems: An Introductory Analysis with Applications to Biology, Control, and Artificial Intelligence , 1992 .

[19]  John R. Koza,et al.  Toward Evolution of Electronic Animals Using Genetic Programming , 2004 .

[20]  John R. Koza,et al.  Evolution using genetic programming of a low-distortion, 96 decibel operational amplifier , 1997, SAC '97.