Niche is an effective and widely used diversity preservation technique in multi-objective evolutionary algorithms (MOEAs).However

it suffers from two feedbacks:the determination of niche radius is far from trivial and the fitness value evaluated by niche technique is too coarse to be reliable in some scenarios.This paper proposes an Adaptive Niche (AN) technique

in which the parameter value of niche radius can be automatically tuned according to the current population.Furthermore

the individuals locate on the niche boundary and inside are tackled differently

when evaluating the fitness value.Comprehensive experiments demonstrate the superiority of proposed AN

compared to several state-of-the-art MOEAs.