An Opposition-Based Evolutionary Algorithm for Many-Objective Optimization with Adaptive Clustering Mechanism

Algorithm 1

General framework of OBEA.

	Output: final population P
	Initialization: create the initial population , reference vector V
	while do
	Mating-selection
	Variation
	Environmental-selection
	return P