战术想定规划中的战略定位
Strategic Positioning in Tactical Scenario Planning
摘要：
能力规划问题在人类感兴趣的许多领域都很普遍，在国防和安全领域都有突出的例子。规划为优化提供了一个独特的背景，尚未详细探讨，涉及许多有趣的挑战，这些挑战与传统的优化研究不同。规划问题的解决方案，可以满足多个规模的鲁棒性，适应性，风险等相关的竞争目标的场景方法是一个关键的规划方法。可以为长期和短期计划定义情景。本文介绍了基于计算的规划问题，并提出了在战术规划域中适应战略定位的方法。我们展示了一个资源规划问题，解决了多目标进化算法的方法。我们的讨论和结果突出了这样一个事实，即基于网络的规划自然是在一个多目标的设置框架。然而，相互冲突的目标发生在不同的系统层面，而不是在一个单一的系统。本文还认为，规划问题是至关重要的利益，在许多人类的努力和演化计算可能会很好地定位为这个问题域。
英文摘要：
Capability planning problems are pervasive throughout many areas of human interest with prominent examples found in defense and security. Planning provides a unique context for optimization that has not been explored in great detail and involves a number of interesting challenges which are distinct from traditional optimization research. Planning problems demand solutions that can satisfy a number of competing objectives on multiple scales related to robustness, adaptiveness, risk, etc. The scenario method is a key approach for planning. Scenarios can be defined for long-term as well as short-term plans. This paper introduces computational scenario-based planning problems and proposes ways to accommodate strategic positioning within the tactical planning domain. We demonstrate the methodology in a resource planning problem that is solved with a multi-objective evolutionary algorithm. Our discussion and results highlight the fact that scenario-based planning is naturally framed within a multi-objective setting. However, the conflicting objectives occur on different system levels rather than within a single system alone. This paper also contends that planning problems are of vital interest in many human endeavors and that Evolutionary Computation may be well positioned for this problem domain.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
