Adaptive immune genetic algorithm for logic circuit design

2009 World Summit on Genetic and Evolutionary Computation, 2009 GEC Summit - Proceedings of the 1st ACM/SIGEVO Summit on Genetic and Evolutionary Computation, GEC'09

Volumn , Issue , 2009, Pages 639-644

  Xu, Hai Qin ^a   Ding, Yong Sheng ^a   Hu, Zhi Hua ^a  

^a DONGHUA UNIVERSITY   (China)

Author keywords

Evolutionary design of circuits; Evolvable hardware; Genetic algorithm; Immune genetic algorithm; Logic circuit design

Indexed keywords

ADAPTATION STRATEGIES; AUTOMATED DESIGN; BIOLOGICAL IMMUNE SYSTEM; CIRCUIT DESIGNS; CLONAL SELECTION; CROSS-OVER PROBABILITY; ELECTRONIC CIRCUITS; EVOLUTIONARY DESIGN; EVOLUTIONARY DESIGN OF CIRCUITS; EVOLVABLE HARDWARE; GLOBAL SEARCHING; HYPER MUTATION; IMMUNE ALGORITHM; IMMUNE GENETIC ALGORITHM; IMMUNE GENETIC ALGORITHMS; IMMUNE MEMORY; LOGIC CIRCUIT DESIGN; MULTI OBJECTIVE EVOLUTIONARY ALGORITHMS; MUTATION PROBABILITY; PREMATURE CONVERGENCE; SEARCH PROCESS; SIMULATION RESULT;

ADAPTIVE ALGORITHMS; CALCULATIONS; ELECTRON TUBES; GENETIC ALGORITHMS; INTEGRATED CIRCUIT MANUFACTURE; LOGIC DESIGN; SEMICONDUCTING GERMANIUM COMPOUNDS; SWITCHING CIRCUITS;

LOGIC CIRCUITS;

EID: 67650656189     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1543834.1543921     Document Type: Conference Paper

References (13)

1. Thompson, A. 1996 Hardware Evolution: Automatic design of electronic circuits in reconfigurable hardware by artificial evolution. Doctoral Thesis. University of Sussex.
2. Liu, R., Zeng, S. Y. 2006 An efficient multi-objective evolutionary algorithm for combinational circuit design. In Proceedings of the first NASA/ESA conference on adaptive hardware and systems. http://ieeexplore.ieee.org/xpls/ abs-all.jsp?arnumber=1638162
3. Nedjah, N., Macedo, L. D. 2004 A comparison of two circuit representations for evolutionary digital circuit design. IEA/AIE 2004, LNAI 3029, 594-604.
4. Miller, J. F., Job, D and Vassilev, V. K. Principles in the evolutionary design of digital circuits-part II. Journal of Genetic Programming and Evolvable Machines, 2000, in press.
5. Ding, Y. S., Hu, Z. H. and Sun, H. B. 2008 An antibody network inspired evolutionary framework for distributed object computing, Information Sciences, 178(24): 4619-4631.
6. Hu, Z. H., Ding, Y.S and Shao, Q. 2008 Immune coevolutionary algorithm based partition balancing optimization for tobacco distribution system, Expert Systems with Applications, 42(4):250-258
7. Hou, C. H., Ding, Y. S. and Zeng, X. Y. 2008 Immune based evolutionary algorithm for fabric evaluation, Mathematics and Computers in Simulation, 77(5-6): 540-549.
8. Dai, Y. S., Li, Y. Y. 2007 Adaptive immune-genetic algorithm for global optimization to multivariable function. Journal of Systems Engineering and Electronics, 18(3): 655-660.
9. Wang, X. F., Zhang, X.J., Cao, X. B., Zhang, J. and Feng, L. 1999 An Improved Genetic Algotithm Based on Immune Principle. Mini-Micro System, 2(20):117-120.
10. Louis, S. J., Rawlins, G.J. 1991 Using genetic algorithms to design structures. Technical Report 326, Computer Science Department, Indiana University, Bloomington.
11. Srinivas, M., Patnaik, L. M. 1994 Adaptive Probabilties of Crossover and Mutation in Genetic Algorithm. IEEE Transaction On Systems Man and Cybernetics, 24(4):656-667.
12. Coello, C. A., Van, D. A. and Lamout, G. B. 2002 Evolutionary Algorithms for Solving Multi-Objective Problems. Kluwer Academic Publishers, New York.
13. Zhang, Y. G., Luo, W. J., Wang, X. F. 2006 Optimization design based on genetic algorithm of immunity. Computer Engineering and Application,11(1):38-40.