Multiobjective optimization is a useful mathematical model in many areas, such as economics, engineering, and decision making, to solve real world problems with conflicting objectives.
对于经济、工程、决策等领域中带有冲突目标的实际问题，多目标优化是一个有用的数学模型。
In many global optimization problems, there exist some monotonous relations between parameters and some objectives, although the objective and constrain condition functions are nonlinear.
在很多全局优化问题中，尽管目标函数和限制条件通常为非线性的，但仍会遇到某些参数和某些目标之间存在一些已知的单调关系。
Hence, large optimization problems that involve either a large number of decision variables or many objectives pose great challenges to the current research in nature-inspired optimization.
因此，包括涉及大规模决策变量及大规模优化目标在内的优化问题对现有自然启发式算法提出了很高的挑战。
Hence, large optimization problems that involve either a large number of decision variables or many objectives pose great challenges to the current research in nature-inspired optimization.
因此，包括涉及大规模决策变量及大规模优化目标在内的优化问题对现有自然启发式算法提出了很高的挑战。
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