A new multi-objective optimization evolutionary algorithm based on the model of cooperative co-evolution is proposed in this paper.
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 evolutionary algorithm for solving multi-objective hybrid flow shop scheduling problem(HFSP) which is an important topic in supply chain network optimization is presented.
针对供应链网络优化领域中的混合流水作业调度问题提出了一种新的多目标演化优化算法。
In order to improve the efficiency of evolutionary algorithm and reduce the optimization time, a multi-objective model management framework was proposed.
为了提高演化算法的效率，减少优化时间，提出一种多目标模型管理框架。
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、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、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。
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