A resource constraints based optimization scheduling approach is proposed for concurrent product development process.
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。
The traditional optimization scheduling method has many shortcomings which would be unable to effectively apply to large scale complex problems.
传统优化调度方法存在着种种不足，已经不能很好地适用于大规模复杂问题。
Based on reading and studying large number of literatures about reservoir scheduling, the long-term optimization scheduling problem and the scheduling risk assessment are studied.
在阅读和研究大量水库调度领域文献的基础上，研究了中长期优化调度以及发电调度风险评估问题。
In this paper, wind power risk is considered in the conventional optimization scheduling models, in order to control the risk of scheduling strategy and enhance reliability of power system.
本文在传统的电力系统优化调度模型中考虑风力发电的风险，以达到控制调度策略的风险，提高系统可靠性的目的。
The simulation example is an optimization scheduling of a certain product development process, and the result shows the feasibility of the algorithm.
验证实例是某产品开发活动优化调度过程，结果表明了该算法的可行性。
In modern times, the rapid development of artificial intelligence technology has provided a strong theoretical foundation on solving optimization scheduling problem.
近代人工智能技术的飞速发展对于解决优化调度问题提供了有力的理论基础保障。
To solve hydrothermal power system resource short-term optimization scheduling problem, this paper proposed a novel scheduling solution based on chaos particle swarm optimization algorithm.
为了有效地解决水火电力系统资源短期优化调度问题，提出了一种基于混沌粒子群算法的调度方案。
To solve hydrothermal power system resource short-term optimization scheduling problem, this paper proposed a novel scheduling solution based on chaos particle swarm optimization algorithm.
为了有效地解决水火电力系统资源短期优化调度问题，提出了一种基于混沌粒子群算法的调度方案。
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