能量极小化的一种启发式遗传算法
A HEURISTIC GENETIC ALGORITHMS FOR ENERGY MINIMIZATION
-
摘要: Chakradhar et.al(1988,1990)将组合电路表示为Hopfield神经网络,将测试生成问题转化为一个组合优化问题。本文在传统遗传算法的基础上,结合电路的拓扑信息,提出了一种用于组合电路神经网络模型能量极小化的启发式遗传算法。
-
关键词:
- 神经网络; 优化; 遗传算法; 测试生成
Abstract: 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. -
计量
- 文章访问数: 2025
- HTML全文浏览量: 109
- PDF下载量: 405
- 被引次数: 0
下载:
