High-end weapon equipment portfolio selection based on a heterogeneous network model

Li, Jichao; Ge, Bingfeng; Jiang, Jiang; Yang, Kewei; Chen, Yingwu

doi:10.1007/s10898-018-0687-1

Cited by 18 publications

(14 citation statements)

References 26 publications

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“…For example, both sensors in IACM and intelligence nodes in FINC represent the combat forces that execute reconnaissance, monitoring, and early warning missions; both decision points in IACM and C2 nodes in FINC represent the combat forces that execute commands and control missions; both influencers and force nodes represent entities that execute fire attacks and electromagnetic interference missions. Therefore, the two models are basically the same in essence, and the modeling idea of this combat networks is widely accepted and used [3]- [6], [8], [16], [39]- [42]. In the follow-up researches of HCN, the main difference is to determine whether there is a target node or not.…”

Section: B Heterogeneous Combat Networkmentioning

confidence: 99%

“…Consequently, system-of-systems warfare countermeasures have gradually replaced platform-centric to be the main operational patterns [2]. Being composed of various types of multifunctional entities, the combat system-of-systems can be abstracted as heterogeneous combat networks (HCNs) [3]- [6].…”

Section: Introductionmentioning

confidence: 99%

“…The associate editor coordinating the review of this manuscript and approving it for publication was Alba Amato . index (OCI) has been used to investigate the functional robustness [3], network disintegration [4], equipment contribution [5], equipment portfolio [6] and mission planning [8] of combat system-of-systems. Being derived strictly from observe, orient, decide, and act (OODA) cycle theory [9] and the concept of the operational chain (OC) [3], [4], OCI can effectively integrate the different behaviors and capabilities of heterogeneous entities, accurately describe the cooperative relationship among combat forces in joint operations, and fully reflect the characteristics and rules of modern warfare.…”

Section: Introductionmentioning

confidence: 99%

“…Being derived strictly from observe, orient, decide, and act (OODA) cycle theory [9] and the concept of the operational chain (OC) [3], [4], OCI can effectively integrate the different behaviors and capabilities of heterogeneous entities, accurately describe the cooperative relationship among combat forces in joint operations, and fully reflect the characteristics and rules of modern warfare. Many useful insights for the combat system-of-systems construction and operational guidance are provided based on OCI [3]- [6], [8], [10]. It is therefore of significance to guarantee the accuracy and reliability of OCI model to prevent the error of accepting wrong conclusions before making critical decision.…”

Section: Introductionmentioning

confidence: 99%

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A Method to Validate Operational Capability Index Model of Heterogeneous Combat Networks Based on Characteristic Topology Analysis

Chen

Liu

et al. 2020

IEEE Access

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In high-tech informative warfare, the combat system-of-systems which become increasingly functional and complex can be abstracted as heterogeneous combat networks (HCNs). The operational capability index (OCI) formula is an important model to evaluate the performance of HCNs. To prevent the error of accepting wrong conclusions when using OCI model, the correctness and accuracy of the model should be substantiated before making critical decisions. Accordingly, this paper presents an integrated methodology of framework named operational capability index model validation based on characteristic topology analysis (OCVCT) for validating and testing the OCI model. In this framework, a concept named characteristic topology, which conforms to military rules and has the highest operational capability assessment, is put forward to replace the compact model as the validation candidate. To search for characteristic topology efficiently, we propose an improved genetic algorithm (GA) with the key-gene oriented crossover operator which considers the prior knowledge of combat networks and takes advantages of both binary and real encoding methods. A case study proves the effectiveness of OCVCT. Moreover, compared with two state-of-the-art and one classical GAs, the improved GA has superiority in convergence speed and reliability. The idea of OCVCT also has a potential application prospect for various evaluation model validations of combat networks. INDEX TERMS Operational capability index, model validation, characteristic topology, genetic algorithm, heterogeneous combat networks, operational chain.

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Section: B Heterogeneous Combat Networkmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

A Method to Validate Operational Capability Index Model of Heterogeneous Combat Networks Based on Characteristic Topology Analysis

Chen

Liu

et al. 2020

IEEE Access

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“…Li et al [77] proposed a capability-oriented approach for the selection of high-end weapon equipment portfolios. A novel measure of effectiveness, referred to as the operational capability evaluation index, was proposed and maximization of this metric was taken as the optimization objective.…”

Section: Applications Of Portfolio Optimization In the Defence Sementioning

confidence: 99%

Portfolio Optimization for Defence Applications

et al. 2020

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The problem of designing an effective future defense force is quite complex and challenging. One methodology that is often employed in this domain is portfolio optimization, whereby the objective is to select a diverse set of assets that maximize the return on investment. In the defense context, the return on investment is often measured in terms of the capabilities that the investments will provide. While the field of portfolio optimization is well established, applications in the defense sector pose unique challenges not seen in other application domains. However, the literature regarding portfolio optimization for defense applications is rather sparse. To this end, this paper provides a structured review of recent applications and identifies a number of areas that warrant further investigation.

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