Branch and Bound algorithm is a general method for solving Combinatorial Optimization Problems. Parallelization is an effective means to improve the algorithm performance.
分枝限界算法是一种求解组合优化问题的一般性方法，并行化是提高算法性能的有效手段。
Two stage hierarchical optimization control algorithm is adopted for steady state large sized system with its subsystem performance indices coupling in a certain order.
对于子系统的性能指标按一定顺序耦合的稳态大系统，采用两级递阶优化控制算法。
A new hybrid method of crossovers is proposed for improving the performance of an evolutionary algorithm for constrained optimization based on hybrid crossovers and intermittent mutation.
为进一步提高基于混合杂交与间歇变异的约束优化演化算法的求解性能，提出了一种新的混合杂交方法。
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