id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
work_ghay4mkd3nczpcfwazq6dhtatu	Jing Xiao	A hybrid ant colony optimization for continuous domains	2011	3	.pdf	application/pdf	1793	187	59	A hybrid ant colony optimization for continuous domains A hybrid ant colony optimization for continuous domains hybrid ant colony optimization approach which combines with the continuous population-based incremental learning and the differential evolution for continuous domains is proposed in this paper. diversity problem in traditional population-based ant colony algorithms, differential evolution is continuous domain is mainly based on Gaussian probability density function sampling. (Pourtakdoust & Nobahari, 2004) employed a Gaussian probability density function whose mean and variance are adjusted during evolution to sample the continuous search space. (multivariate ant colony algorithm for continuous optimization) ACOR (ant colony optimization in Rn) (Socha & Dorigo, 2008) extended the population-based ACO with Gaussian pdf as pheromone update. A hybrid ant colony optimization (HACO) incorporating with continuous population-based 2. HACO: A hybrid ant colony optimization for continuous Then the two ant groups use the corresponding Gaussian functions to sample their values for each dimension.	./cache/work_ghay4mkd3nczpcfwazq6dhtatu.pdf	./txt/work_ghay4mkd3nczpcfwazq6dhtatu.txt