hcsampler.h

该算法是张青复与周爱民的基于RM-MEDA算法的程序

//
//Please find details of the method from
//
//	Q. Zhang, A. Zhou and Y. Jin, "RM-MEDA: A Regularity Model Based Multiobjective Estimation of Distribution Algorithm", IEEE Trans. Evolutionary Computation, Vol. 12, no. 1, pp41-63, 2008.
//
//The source codes are free for reserach work. If you have any problem with the source codes, please contact with 
//	Qingfu Zhang, 
//		Department of Computing and Electronic Systems,
//		University of Essex,
//		Colchester, CO4 3SQ, UK
//		http://cswww.essex.ac.uk/staff/zhang
//		Email: [e-mail]
//    Aimin Zhou
//		Department of Computing and Electronic Systems,
//		University of Essex,
//		Colchester, CO4 3SQ, UK
//		http://privatewww.essex.ac.uk/~azhou/
//		Email: [e-mail] or [e-mail] 
//Programmer:		
//		Aimin Zhou
//Last Update:
//		Feb. 21, 2008
//
//HCSampler.h : samplers in hyper cube
//

#ifndef	AZ_HCSAMPLER_H
#define	AZ_HCSAMPLER_H

#include <vector>

//!\brief	az namespace, the top namespace
namespace az
{

//!\brief	alg namespace, contains algorithms
namespace alg
{
	//!\breif	Latin Hyper Cube design
	//!\param	rand	rand matrix within [low, upp]
	//!\param	low		lower range
	//!\param	upp		upper range
	//!\return	void
	void LHC(std::vector< std::vector<double> >& rand, std::vector<double>& low, std::vector<double>& upp);

	//!\breif	uniform design
	//!\param	rand	rand matrix within [low, upp]
	//!\param	low		lower range
	//!\param	upp		upper range
	//!\return	void
	void Uniform(std::vector< std::vector<double> >& rand, std::vector<double>& low, std::vector<double>& upp);

} //namespace alg

} //namespace az

#endif //AZ_HCSAMPLER_H