多目标动态规划时段轮换并行算法
Time Cycling Parallel Algorithm of Multiobjective Dynamic Programming
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摘要: 针对SIMD和MIMD结构的并行机提出多目标动态规划时段轮换并行算法,多目标动 态规划的时段轮换迭代算法,将全过程优化问题转化成子过程优化问题,然后在子过程非劣解 集中寻找全过程非劣解.这样,将多目标动态规划内存不足的问题转化成时间问题,然后利用 并行机超高速运算的优势来有效地解决内存不足问题.通过时间复杂性、加速比分析及实例. 说明了算法的有效性及优越性.Abstract: Time cycling parallel algorithm of multiobjective dynamic programming are presented for SIMD and MIMD parallel computers, respectively. The time cycling algorithm of multiobjective dynamic programming is such a method that transforms the optimization problem of whole procedure into the optimization problem of subprocedures, then finds the non-inferior solutions of whole procedure in the set of the non-inferior solutions of subprocedures. With this idea, the problem of memories of multiobjective dynamic programming can be transformed into a problem of time, then the problem can be solved effectively through parallel computers with very high computing speeds.
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Key words:
- Parallel algorithm /
- time complexity /
- speedup /
- time cycling
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