Use of particle swarm optimization to design combinational logic circuits

被引：0

作者：

Coello, CAC

Luna, EH

Aguirre, AH

机构：

[1] IPN, CINVESTAV, Evolutionary Computat Grp, Dept Ing Elect,Secc Computac, Mexico City 07300, DF, Mexico

[2] CIMAT, Area Computac, Guanajuato 36240, Mexico

来源：

EVOLVABLE SYSTEMS: FROM BIOLOGY TO HARDWARE, PROCEEDINGS | 2003年 / 2606卷

关键词：

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

This paper presents a proposal based on binary particle swarm optimization to design combinational logic circuits at the gate-level. The proposed algorithm is validated using several examples from the literature, and is compared against a genetic algorithm (with integer representation), and against human designers who used traditional circuit design aids (e.g., Karnaugh Maps). Results indicate that particle swarm optimization may be a viable alternative to design combinational circuits at the gate-level.

引用

页码：398 / 409

页数：12

共 13 条

[1]

Coello C.A., 1997, P INT C ARTIFICIAL N

[2]

Coello C.A.C., 2000, INT J SMART ENG SYST, V2, P299

[3] Evolutionary multiobjective design of combinational logic circuits [J].

Coello, CAC ;

Aguirre, AH ;

Buckles, BP .

SECOND NASA/DOD WORKSHOP ON EVOLVABLE HARDWARE, PROCEEDINGS, 2000, :161-170

[4]

Kalganova T., 1999, Proceedings of the First NASA/DoD Workshop on Evolvable Hardware, P54, DOI 10.1109/EH.1999.785435

[5]

Kennedy J, 1997, IEEE SYS MAN CYBERN, P4104, DOI 10.1109/ICSMC.1997.637339

[6]

Kennedy J, 1995, 1995 IEEE INTERNATIONAL CONFERENCE ON NEURAL NETWORKS PROCEEDINGS, VOLS 1-6, P1942, DOI 10.1109/icnn.1995.488968

[7]

Kennedy J., 2001, SWARM INTELLIGENCE

[8] Principles in the Evolutionary Design of Digital Circuits—Part I [J].

Julian F. Miller ;

Dominic Job ;

Vesselin K. Vassilev .

Genetic Programming and Evolvable Machines, 2000, 1 (1-2) :7-35

[9]

MILLER JF, 1998, GENETIC ALGORITHMS E, P105

[10]

SASAO T, 1993, LOGIC SYNTHESIS OPTI

← 1 2 →