@article{(Open Science Index):https://publications.waset.org/pdf/14013,
	  title     = {Comparative Study of Ant Colony and Genetic Algorithms for VLSI Circuit Partitioning},
	  author    = {Sandeep Singh Gill and  Rajeevan Chandel and  Ashwani Chandel},
	  country	= {},
	  institution	= {},
	  abstract     = {This paper presents a comparative study of Ant Colony and Genetic Algorithms for VLSI circuit bi-partitioning. Ant colony optimization is an optimization method based on behaviour of social insects [27] whereas Genetic algorithm is an evolutionary optimization technique based on Darwinian Theory of natural evolution and its concept of survival of the fittest [19]. Both the methods are stochastic in nature and have been successfully applied to solve many Non Polynomial hard problems. Results obtained show that Genetic algorithms out perform Ant Colony optimization technique when tested on the VLSI circuit bi-partitioning problem.
},
	    journal   = {International Journal of Electrical and Computer Engineering},
	  volume    = {3},
	  number    = {4},
	  year      = {2009},
	  pages     = {1149 - 1153},
	  ee        = {https://publications.waset.org/pdf/14013},
	  url   	= {https://publications.waset.org/vol/28},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 28, 2009},
	}