求解方法主要有数学规划法和多目标进化算法。
The solution methods mainly have mathematics programming and the multi-objectives evolution algorithms.
最后针对多目标进化算法给出了几种并行化方法。
At last we put forward some methods of paralization of MOEAs.
对已有的多目标进化算法的收敛性及算法性能进行了分析与讨论。
Analysis and discussion are carried out on the existing multiobjective evolutionary algorithms.
设计了多目标进化算法来求解代价函数的全局最优解，提出了非线性盲源分离的多目标进化算法。
For separating source signals efficiently, a nonlinear blind separation algorithm based on specific-designed multiobjective evolutionary algorithm is proposed.
将微分进化算法的应用范围从求解无约束单目标优化推广到求解一般情形的多目标优化。
The application scope of differential evolution algorithm is extended to a general multi-objective optimization from unconstrained single-objective optimization.
基于合作型协同进化模型，提出了一种新型的多目标优化进化算法。
A new multi-objective optimization evolutionary algorithm based on the model of cooperative co-evolution is proposed in this paper.
进化算法作为处理复杂函数最优化、多目标最优化问题的一种有效算法，正日益受到人们的重视。
Evolutionary algorithm is one of the most effective algorithms for hard optimization and multi-objective optimization problems, which are attached more and more importance to.
进化算法作为处理复杂函数最优化、全局最优化和多目标最优化问题的一种有效算法，正日益受到人们的重视。
Evolutionary algorithms are one of the effective algorithms for hard optimization, global optimization and multiobjective optimization problems, which are attached more and more importance to.
使用基于游戏模型的共同进化算法寻找ESS作为多目标问题的解，该算法是一种基于粗粒度并行模型的进化算法。
We will try to find ESS as a solution of MOPs using our game model based co-evolutionary algorithm, which based on coarse-grain parallel model.
本文主要是研究用进化算法来解决多目标优化问题。
This paper is to study the use of evolutionary algorithms to solve multi-objective optimization problem.
以多目标遗传算法为代表的进化算法被认为特别适合求解此类问题。
The Multi-objectives Genetic Algorithms (MOGA) as representative evolution algorithms was considered specially suit to solve this kind of questions.
以多目标遗传算法为代表的进化算法被认为特别适合求解此类问题。
The Multi-objectives Genetic Algorithms (MOGA) as representative evolution algorithms was considered specially suit to solve this kind of questions.
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