An adaptive combinatorial optimization algorithm for solving this integrated optimization design problems is put forward.
针对一体化设计问题的求解要求提出了相应的组合优化算法。
Ant colony system is a novel simulated evolutionary algorithm, which provides a new method for complicated combinatorial optimization problems.
蚁群算法是一种新型的模拟进化算法，为求解复杂的组合优化问题提供了一种新的思路。
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。
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