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多目标决策问题普遍存在于决策领域而且有着广泛的实际背景,从一定意义上说,几乎所有实际问题都可看作是多目标的,因此研究多目标决策具有十分重要的意义。但由于多目标问题的求解比单目标问题难得多,阻碍着有关研究的进一步深入。进入20世纪90年代以来,进化计算等现代搜索技术的出现及深入发展,为这个领域的研究提供了有力工具,使得多目标决策特别是多目标优化成为新的研究热点。
Multi-objective decision-making problem is widespread in decision-making field and has a wide range of practical background. In a certain sense, almost all practical problems can be regarded as multi-objective, so it is of great significance to study multi-objective decision-making. However, solving the multi-objective problem is much more difficult than the single-goal problem, hindering the further research. Since the 1990s, the emergence and further development of modern search technologies such as evolutionary computation have provided a powerful tool for the research in this field, making multi-objective decision making, especially multi-objective optimization, a new research hotspot.