Logical effort using a novel discrete particle swarm optimization algorithm

Proceedings of 2009 5th International Colloquium on Signal Processing and Its Applications, CSPA 2009

Volumn , Issue , 2009, Pages 432-437

  Hassan, H A ^a   Yassin, I M ^a   Halim, A K ^a   Zabidi, A ^a   Majid, Z A ^a   Abidin, H Z ^a  

^a UNIVERSITI TEKNOLOGI MARA   (Malaysia)

Author keywords

[No Author keywords available]

Indexed keywords

DATA SETS; DESIGN PROBLEMS; DISCRETE PARTICLE SWARM OPTIMIZATION ALGORITHM; DISCRETE VALUES; ELECTRONIC CIRCUITS; LOGIC CIRCUIT DESIGN; LOGICAL EFFORT; NAND GATE; RESCALING FUNCTIONS; SIMPLE METHOD; TEST RUNS; TIMING ANALYSIS;

ALGORITHMS; ELECTRON TUBES; INTEGRATED CIRCUIT MANUFACTURE; LOGIC CIRCUITS; LOGIC DESIGN; SIGNAL PROCESSING; SWITCHING CIRCUITS;

PARTICLE SWARM OPTIMIZATION (PSO);

EID: 70349941542     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CSPA.2009.5069266     Document Type: Conference Paper

References (27)

1. B. S. I. Sutherland, D. Harris, Logical Effort-Designing Fast CMOS Circuits, 1999.
2. N. H. E. Weste and D. Harris, CMOS VLSI Design, 3rd. ed.: Pearson Addison, 2005.
3. I. M. Yassin, M. N. Taib, and N. M. Tahir, "Modification of Particle Swarm Optimization Algorithm for Optimization of Discrete Values," IEEE TRans. Evolutionary Computation, submitted for publication.
4. J. Kennedy and R. C. Eberhart, "Particle swarm optimization," in Proc. IEEE Int. Conf. on Neural Networks. vol. 4 Perth, Australia: IEEE Service Center, 1995, pp. 1942-1948.
5. X. Hu, R. Eberhart, and Y. Shi, "Recent advances in particle swarm," in Proc. IEEE Congress on Evolutionary Computation Portland, OR, 2004, pp. 90-97.
6. H. H. Balci and J. F. Valenzuela, "Scheduling electric power generators using particle swarm optimization combined with the lagrangian relaxation method," Int. J. Appl. Math Comput. Sci., vol. 14, pp. 411-421, 2004.
7. J. S. Heo, K. Y. Lee, and R. Garduno-Ramirez, "Multiobjective control of power plants using particle swarm optimization techniques," IEEE Trans. on Energy Conversion, vol. 21, pp. 552-561, 2006.
8. L. Khriji and K. El-Metwally, "Rational-based particle swarm optimization for digital image interpolation " Int. J. Intelligent Technology vol. 1, pp. 223-227, 2006.
9. M. G. H. Omran, A. P. Engelbrecht, and A. Salman, "Dynamic clustering using particle swarm optimization with application in unsupervised image classification," Trans. Engineering, Computing and Technology, vol. 9, pp. 199-204, 2005.
10. P.-Y. Yin, K.-C. Chang, G.-J. Hwang, G.-H. Hwang, and Y. Chan, "A Particle Swarm Optimization Approach to Composing Serial Test Sheets for Multiple Assessment Criteria," Educational Technology & Society, vol. 9, pp. 3-15, 2006.
11. E. F. Campana, G. Fasano, D. Peri, and A. Pinto, "Particle swarm optimization: efficient globally convergent modifications," in 3rd European Conf. on Computational Mechanics Solids, Structures and Coupled Problems in Engineering Lisbon, Portugal, 2006, pp. 1-18.
12. K. E. Parsopoulos and M. N. Vrahatis, "Recent approaches to global optimization problems through Particle Swarm Optimization," Natural Computing, vol. 1, pp. 235-306, 2002.
13. H. Yoshida, K. Kawata, Y. Fukuyama, S. Takayama, and Y. Nakanishi, "A particle swarm optimization for reactive power and voltage control considering voltage security assessment," IEEE Trans. on Power Systems, vol. 15, pp. 1232-1239, 2000.
14. A. K. Pramanick and S. M.Reddy, "On the Fault Coverage of Gate Delay Fault Detecting Tests," IEEE Trans. Computer-Aided Design of Integrated Circuits and Systems, vol. 16(1), pp. 78-94, 1997.
15. D. H. a. I. Sutherland, "Logical Effort of Carry Propagate Adders," in Proc. 37th Asilomar Conference on Signals, Systems & Computers. vol. 1, 2003, pp. 873-878.
16. I. Sutherland, R. Sproull, and D. Harris, Logical Effort. San Francisco: Morgan Kaufmann Publishers, 1999.
17. M. Horowitz, "Logic Effort Revisited," in Handout EE371, Spring 98/99, 1998, pp. 1-9.
18. J. Kennedy and R. C. Eberhart, "A discrete binary version of the particle swarm algorithm," in Proc. IEEE Int. Conf. on Systems, Man and Cybernetics. vol. 5, 1997, pp. 4104-4108.
19. W.-C. Yeh, W.-W. Chang, and Y. Y. Chung, "A new hybrid approach for mining breast cancer pattern using discrete particle swarm optimization and statistical method," Expert Systems with Applications, submitted for publication, 2008.
20. L. Yiqing, Y. Xigang, and L. Yongjian, "An improved PSO algorithm for solving non-convex NLP/MINLP problem with equality constraints," Computers and Chemical Engineering, vol. 31, pp. 153-162, 2007.
21. E. C. Laskari, K. E. Parsopoulos, and M. N. Vrahatis, "Particle swarm optimization for integer programming," in Proc. of the IEEE 2002 Congress on Evolutionary Computation 2002.
22. M. G. H. Omran, A. Engelbrecht, and A. Salman, "Barebones particle swarm for integer programming problems," in Proc. IEEE Swarm Intelligence Symposium, 2007.
23. I. M. Yassin, N. A. Rahim, and M. N. Taib, "NARMAX identification of DC motor model using particle swarm optimization," in 4th Int. Colloquium on Signal Processing & Its Applications (CSPA 2008), Kuala Lumpur, Malaysia, 2008.
24. MATLAB Neural Network Toolbox v4 User's Guide. Mathworks Inc., Natick, MA., 2005.
25. M. Matsumoto and T. Nishimura, "Mersenne Twister: A 623-Dimensionally Equidistributed Uniform Pseudorandom Number Generator," ACM Transactions on Modeling and Computer Simulation, vol. 8(1):3, pp. 3-30, 1998.
26. MATLAB Function Reference Documentation. Mathworks Inc., Natick, MA, 2008.
27. R. C. Eberhart and Y. Shi, "Comparing inertia weights and constriction factors in particle swarm optimization," in Proc. Congress of Evolutionary Computation San Diego, CA, 2000, pp. 84-88.