A Search History-Driven Offspring Generation Method for the Real-Coded Genetic Algorithm

Algorithm 1

Search history-driven crossover for RCGA.

Input: population , population size ,
Archive , archive size ,
Score ,
Generation ID
Output: estimated global optimum
//initialization
(1)	individuals in are randomly initialized
	//fitness evaluation
(2)	eval
	//archive update
(3)	archiveUpdate ;
(4)	While termination criterion is not satisfied do
(5)
	//SHX
(6)	parentSelection , ;
(7)
(8)	offspringGeneration ;
(9)	offspringSelection , ;
	//fitness evaluation
(10)	eval
	//survivor selection
(11)	survivorSelection ;
(12)
	//archive update
(13)	archiveUpdate ;
(14)	end
(15)	Return .