Original paper
On the effect of reference point in MOEA/D for multi-objective optimization
Abstract
Multi-objective evolutionary algorithm based on decomposition (MOEA/D) has continuously proven effective for multi-objective optimization. So far, the effect of weight vectors and scalarizing methods in MOEA/D has been intensively studied. However, the reference point which serves as the starting point of reference lines (determined by weight vectors) is yet to be well studied. This study aims to fill in this research gap. Ideally, the ideal...
Paper Details
Title
On the effect of reference point in MOEA/D for multi-objective optimization
Published Date
Apr 8, 2017
Journal
Volume
58
Pages
25 - 34
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