Chen Chaoyang, Chen Guangju, Yu Juebang. A HEURISTIC GENETIC ALGORITHMS FOR ENERGY MINIMIZATION[J]. Journal of Electronics & Information Technology, 1998, 20(1): 132-135.
Citation:
Chen Chaoyang, Chen Guangju, Yu Juebang. A HEURISTIC GENETIC ALGORITHMS FOR ENERGY MINIMIZATION[J]. Journal of Electronics & Information Technology, 1998, 20(1): 132-135.
Chen Chaoyang, Chen Guangju, Yu Juebang. A HEURISTIC GENETIC ALGORITHMS FOR ENERGY MINIMIZATION[J]. Journal of Electronics & Information Technology, 1998, 20(1): 132-135.
Citation:
Chen Chaoyang, Chen Guangju, Yu Juebang. A HEURISTIC GENETIC ALGORITHMS FOR ENERGY MINIMIZATION[J]. Journal of Electronics & Information Technology, 1998, 20(1): 132-135.
Chakradhar, et al(1988, 1990) represent the combinational circuit as a Hopfield neural network and formulate the test generation problem as an optimization problem. In this paper, a heuristic genetic algorithms is proposed based on traditional GA and circuit topology information. The algorithm is used for energy minimization of combinaitonal circuit s neural networks.
Chakradhar S T, Bushnell M L, Agrawal V D. Automatic test generation using neural netwarks. IEEE Int. Conf. on CAD, Santa chara: 1988, 416-419.[2]Chakradhar S T, Bushnell M L, Agrawal V D. Toward massively parallel automatic test generation. IEEE Trans. on CAD, 1990, CAD-9(9): 981-994.[3]Holland J H. Adaptation in natural and artifical system. Ann Arbor: The University of Michigan Press. 1975.[4]Goldberg D E. Genetic Algorithms in Search, Optimization and Machine Learning. Reading, Mass: Addison-Wesley, 1989, Chapter 5, 147-214.