论文信息 - An approach for genetic synthesizer of binary decision diagram

An approach for genetic synthesizer of binary decision diagram

This paper describes the process of hardware evolution by genetic programming (GP). Hardware descriptions specified using binary decision diagrams (BDD) are evolved by genetic programming operators to synthesize various combinatorial logic circuits. By adopting BDDs as hardware representation, larger circuits are evolved and their verification is performed easily by utilizing commercial CAD software.

Hitoshi Iba | Yukinori Kakazu | Hidenori Sakanashi | Tetsuya Higuchi

[1] R. Lippmann,et al. An introduction to computing with neural nets , 1987, IEEE ASSP Magazine.

[2] D. E. Goldberg,et al. Genetic Algorithms in Search , 1989 .

[3] Jan Gecsei,et al. Adaptation Algorithms for Binary Tree Networks , 1979, IEEE Transactions on Systems, Man, and Cybernetics.

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

[5] Hitoshi Iba,et al. Applying Evolvable Hardware to Autonomous Agents , 1994, PPSN.

[6] Randal E. Bryant,et al. Graph-Based Algorithms for Boolean Function Manipulation , 1986, IEEE Transactions on Computers.