Towards the real time solution of strike force asset allocation problems

Li, Vincent C.; Curry, Guy L.; Boyd, Emily

doi:10.1016/s0305-0548(02)00192-2

Cited by 28 publications

(12 citation statements)

References 10 publications

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“…Note that variables used in (18) are less than the earlier proposed (6) which also leads to better computational efficiency. After a calculating procedure using RPPSO algorithm and then output a series of G s , the optimal results of Fig.…”

Section: Definitionmentioning

confidence: 99%

“…After a calculating procedure using RPPSO algorithm and then output a series of G s , the optimal results of Fig. 13 Convert "multiple tasks assigned at whole shot window" into "one task assigned at multiple sub-time windows" Whole shot window (6) are solved by aggregate one-to-one execution relationships between the shot windows and subtasks.…”

Section: Definitionmentioning

confidence: 99%

“…Research has been performed on WTA effectiveness and sequential allocation of weapon resources against an attack, but very little has been conducted on BMDS IRP with shot time constraints. The related problems have been mostly formulated and solved using integer programming [6], heuristic algorithm based on linear integer programming was proposed to solve WTA problem [7]. Bracken and McCormick presented a nonlinear approximation to a weapon allocation problem where the goal is to maximize expected inflicted damage [3].…”

Section: Introductionmentioning

confidence: 99%

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Modified particle swarm optimization for BMDS interceptor resource planning

Fu-xian

Long

et al. 2015

Appl Intell

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One important mission of the strategic defense is to develop an integrated, layered Ballistic Missile Defense System (BMDS). We consider the problem of assigning interceptors to multiple waves of incoming ballistic missiles. This work addresses the issue of shot time constraints and directly allocates multiple targets to interceptors in the single engagement problem. A mathematical model and method for BMDS Interceptor resource planning (IRP) is presented. In addition to mathematical model, a modified particle swarm optimization RPPSO algorithm has been developed for solving complex IRP problem. This algorithm adapted a basic PSO algorithm to make it compatible with reasonable engineering problems. RPPSO was developed by embedding a reverse predictor within the basic algorithm to avoid premature convergence without significantly reducing convergence speed, and adding a repulsive force to keep the diversity of both local and global optima.

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Section: Definitionmentioning

confidence: 99%

Section: Definitionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Modified particle swarm optimization for BMDS interceptor resource planning

Fu-xian

Long

et al. 2015

Appl Intell

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“…This concept of defining value will be discussed in the sheet metal example. Taking a slight variation on the standard MKP with the addition of special ordered sets, Li, Curry, and Boyd [25] model the strike force asset allocation problem where strike force asset packages are assigned to both targets and defensive assets to maximize strike force potential.…”

Section: Multidimensional Knapsack Problem Literature Reviewmentioning

confidence: 99%

Single-plant sourcing decisions with a multidimensional knapsack model

Cherbaka

Meller

2008

Journal of Manufacturing Systems

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“…aircrafts, battleships, or weapons) has received considerable attention in the operations research community (Manne, 1958;DenBroeder, Ellison and Emerling, 1959;Braford, 1961;Day, 1966;Matlin, 1970;Li, Curry and Boyd, 2004). Several extensive literature surveys are available on the subject (Eckler and Burr, 1972;Murphey, 1999;Voss, 1999).…”

Section: Introductionmentioning

confidence: 99%

A multi-criteria vehicle-target allocation assessment model for network-centric Joint Air Operations

Tavana

Bailey

Busch

2008

IJOR

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Joint Air Operations (JAO) are traditionally orchestrated using centralised planning and scheduling that assigns air assets to mission packages for the purpose of achieving campaign objectives. However, the current command and control model used by the Air Force lacks 'agility', since it neither anticipate changes in the battlespace nor take advantage of continuous information provided by the sensors in a network-centric environment. In this study, we propose a Multi-Criteria Decision Analysis model that considers four competing objectives (effort, effectiveness, efficiency, and connectivity) to assess vehicle-target allocation for network-centric JAO. The proposed model uses entropy, multi-hop connectivity, and the Analytic Hierarchy Process to derive an overall measures of the performance for alternative vehicle-target allocation scenarios.

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Towards the real time solution of strike force asset allocation problems

Cited by 28 publications

References 10 publications

Modified particle swarm optimization for BMDS interceptor resource planning

Modified particle swarm optimization for BMDS interceptor resource planning

Single-plant sourcing decisions with a multidimensional knapsack model

A multi-criteria vehicle-target allocation assessment model for network-centric Joint Air Operations

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