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.
利用差分进化算法求解该优化问题，并利用可行性规则处理约束。
The optimization problem was solved by differential evolution and the constraints were handled by feasibility-based rule.
提出了基于约束网络的进化设计路线获取策略。
An approach to acquire evolution routine of design based-on constraint network is proposed.
应用推荐