Robust Optimization Approach Using Scenario Concepts for Artillery Firing Scheduling Under Uncertainty

Robust Optimization Approach Using Scenario Concepts for Artillery Firing Scheduling Under Uncertainty

Real wars involve a considerable number of uncertainties when determining firing scheduling. This study proposes a robust optimization model that considers uncertainties in wars. In this model, parameters that are affected by enemy’s behavior and will, i.e., threats from enemy targets and...

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Bibliographic Details
Main Authors: Yong Baek Choi, Ho Yeong Yun, Jang yeop Kim, Suk Ho Jin, Kyung Sup Kim
Format: Article
Language:English
Published: MDPI AG 2019-07-01
Series:Applied Sciences
Subjects:
robust optimization
artillery firing scheduling
threat time
uncertainty
Online Access:https://www.mdpi.com/2076-3417/9/14/2811

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