initialization.h

来自「该算法是张青复与周爱民的基于RM-MEDA算法的程序」· C头文件 代码 · 共 66 行

//
//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
//
//Initialization.h : initialization strategies
//

#ifndef AZ_INITIALIZATION_H
#define AZ_INITIALIZATION_H

#include "PopulationMO.h"

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

//!\brief	mea namespace, the multiobjective evolutionary algorithm namespace
namespace mea
{
//!\brief initialization strategies
namespace ini
{
	//!\brief random initialization strategy
	class Random
	{
	protected:
		unsigned int mEvas;	//!< evaluations
	public:
		//!\brief	get evaluations
		//!\return	evaluations
		inline unsigned int EvaTimes() {return mEvas;}

		//!\brief	initialize a population
		//!\param	pop population
		//!\param	size population size
		//!\return	population
		CPopulationMO& Initialize(CPopulationMO& pop, unsigned int size);	
	};//class Random

}//namespace ini

} //namespace mea

} //namespace az

#endif //AZ_INITIALIZATION_H