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A MULTI-OBJECTIVE RISK-BASED FRAMEWORK FOR MISSION CAPABILITY PLANNING

机译:任务能力规划的基于多目标风险的框架

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In this paper, we propose a risk-based framework for military capability planning. Within this framework, metaheuristic techniques such as Evolutionary Algorithms are used to deal with multi-objectivity of a class of NP-hard resource investment problems, called The Mission Capability Planning Problem, under the presence of risk factors. This problem inherently has at least two conflicting objectives: minimizing the cost of investment in the resources as well as the makespan of the plans. The framework allows the addition of a risk-based objective to the problem in order to support risk assessment during the planning process. In other words, with this framework, a mechanism of progressive risk assessment is introduced to capability planning.rnWe analyze the performance of the proposed framework under both scenarios: with and without risk. In the case of no risk, the purpose is to study several optimization-related aspects of the framework such as convergence, trade-off analysis, and its sensitivity to the algorithm parameters; while the second case is to demonstrate the ability of the framework in supporting risk assessment and also robustness analysis.
机译:在本文中,我们提出了一种基于风险的军事能力计划框架。在此框架内,在存在风险因素的情况下,使用元启发式技术(例如演化算法)来处理一类NP硬性资源投资问题(称为“任务能力计划问题”)的多目标性。这个问题固有地具有至少两个相互矛盾的目标:最小化对资源的投资成本以及计划的完成时间。该框架允许在问题中添加基于风险的目标,以便在计划过程中支持风险评估。换句话说,使用此框架,将渐进式风险评估机制引入了能力规划。我们在两种情况下(有风险和无风险)分析了所提出框架的绩效。在无风险的情况下,目的是研究与框架优化相关的几个方面,例如收敛,权衡分析及其对算法参数的敏感性。第二种情况是证明该框架支持风险评估和稳健性分析的能力。

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