Original paper
Robust Optimization Approach Using Scenario Concepts for Artillery Firing Scheduling Under Uncertainty
Abstract
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 threat time from enemy targets, are assumed as uncertain parameters. The robust optimization model considering these parameters is an intractable model with...
Paper Details
Title
Robust Optimization Approach Using Scenario Concepts for Artillery Firing Scheduling Under Uncertainty
Published Date
Jul 14, 2019
Journal
Volume
9
Issue
14
Pages
2811 - 2811
Citation AnalysisPro
You’ll need to upgrade your plan to Pro
Looking to understand the true influence of a researcher’s work across journals & affiliations?
- Scinapse’s Top 10 Citation Journals & Affiliations graph reveals the quality and authenticity of citations received by a paper.
- Discover whether citations have been inflated due to self-citations, or if citations include institutional bias.
Notes
History