结果，High Performance Unload可以并行执行卸载和加载过程，这优化了时间和资源。
As a result, High Performance unload performs the unloading and the loading processes in parallel, which optimizes time and resources.
基于混沌运动的初值敏感性和对混沌优化搜索过程的分析，提出了并行自适应混沌优化方法。
Based on the initial value sensitivity of chaotic motion and the analysis of optimal searching process, a parallel adaptive chaotic optimization (PACO) method is proposed.
针对并行产品开发过程，提出了一种基于资源约束的优化调度算法。
A resource constraints based optimization scheduling approach is proposed for concurrent product development process.
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