Optimization plays an important role in various disciplines of engineering. Multi-objective optimization is usually characterized by a set of trade-off points, which are commonly referred to as Pareto optimal points. In this paper, we study parallel search strategies for multi-objective constraint optimization problems. We propose to combine two strategies, and result of computational experiments shows the effectiveness of the proposed method.
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