An efficient multi-objective evolutionary algorithm for combinational circuit design

Proceedings - First NASA/ESA Conference on Adaptive Hardware and Systems, AHS 2006

Volumn 2006, Issue , 2006, Pages 215-221

  Liu, Rui ^a   Zeng, Sang You ^a,b   Ding, Lixin ^c   Kang, Lishan ^c   Li, Hui ^a   Chen, Yuping ^c   Liu, Yong ^d   Han, Yueping ^d  

^a CHINA UNIVERSITY OF GEOSCIENCES   (China)

^b HUNAN UNIVERSITY OF TECHNOLOGY   (China)

^c WUHAN UNIVERSITY   (China)

^d Shandong Institute of Aerospace Electronic Technology   (China)

Author keywords

Combinational logic circuit; Gartesian genetic programming; Multiobjective evolutionary algorithm

Indexed keywords

CHROMOSOMES; CONVERGENCE OF NUMERICAL METHODS; INTEGRATED CIRCUIT LAYOUT; OPTIMAL CONTROL SYSTEMS;

COMBINATIONAL LOGIC CIRCUIT; GARTESIAN GENETIC PROGRAMMING; MULTIOBJECTIVE EVOLUTIONARY ALGORITHMS;

EVOLUTIONARY ALGORITHMS;

EID: 33845586219     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/AHS.2006.21     Document Type: Conference Paper

References (11)

1. J. F. Miller, D. Job, and V. K. Vassilev. Principles in the Evolutionary Design of Digital Circuits - Part I. Genetic Programming and Evolvable Machines, 1(1/2):7-35, April 2000.
2. J.H. Holland, Adaptation in Natural and Artificial System, The University of Michigan Press, 1975
3. Erika Hernandez Luna, Carlos A. Coello Coello, and Arturo Hernandez Aguirre, On the Use of a Population-Based Particle Swarm Optimizer to Design Combinational Logic Ciruits, 2004
4. J.D. Schaffer, Multiple Objective Optimization with Vector Evaluated Genetic Algorithms. In Genetic Algorithms and their Applications: Proceedings of the First International Conference on Genetic Algorithms, Lawrence Erlbaum 1985
5. Eckart Zitzler, Evolutionary Algorithms for Multi-objective Optimization: Methods and Applications, PhD thesis, Swiss Federal Institute of Technology Zurich, 1999
6. Bäck, T., Evolutionary Algorithms in Theory and Practice, New York, etc.: Oxford University Press, 1996
7. Kalyanmoy Deb, Amrit Pratap, Sameer Agarwal, and T. Meyarivan, A Fast and Elitist Multiobjective Genetic Algorithm: NSGA-II. IEEE Transactions on Evolutionary Computation, 6(2):182-197, 2002
8. Eckart Zitzler, Marco Laumanns, and Lothar Thiele, SPEA2: Improving the Strength. Pareto Evolutionary Algorithm for Multiobjective Optimization. In K.C. Giannakoglou et al., editor, Proceedings of the EUROGEN2001 Conference, pages 95-100, Barcelona, Spain, CIMNE, 2002
9. Kalyanmoy Deb, Amrit Pratap, Sameer Agarwal, and T. Meyarivan, A Fast and Elitist Multiobjective Genetic Algorithm: NSGA-II. IEEE Transactions on Evolutionary Computation, 6(2):182-197, 2002
10. Purshouse, R. C., Fleming, P. J., The Multi-objective Genetic Algorithm Applied to Benchmark Problems-an Analysis. Research Report No. 796. Department of Automatic Control and Systems Engineering University of Sheffield, Sheffield, SI 3JD, UK, 2001
11. Sanyou Y.Zeng, Lishan S.Kang, Lixing X.Ding, An Orthogonal Multiobjective Evolutionary Algorithm for Multi-objective Optimization Problems with Constraints. Evolutionary Computation, 12(1), pp77-98, 2004