Software Toolkit for Optimizing Mission Plans (STOMP)

Gonsalves, Paul; Burge, Janet E.

doi:10.2514/6.2004-6279

Cited by 7 publications

(8 citation statements)

References 2 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…This requires the ability to visualize and compare the different mission plans. In our prior work 22 , this was done in several ways. First, a list of the different plans was displayed that specified the number and types of the different aircraft involved, the overall fitness of the plan, the probability of destroying the target, the average number of friendly assets destroyed, and the time required to complete the mission.…”

Section: User Interfacementioning

confidence: 99%

“…The fitness evaluation, or fitness function, decides which candidate plans survive on to the next generation and are combined to form new plans. For the example in our prior work 22 , there were four elements to the fitness function:…”

Section: Abstract Wargamermentioning

confidence: 99%

“…An example abstraction 22 for air mission planning consists of a square coordinate grid that is superimposed on the portion of the battlespace around the target that encompasses both the target and the range of effectiveness for the enemy assets defending it. Figure 4 shows an example of a grid, with paths from asset starting positions to the target.…”

Section: Abstract Wargamermentioning

confidence: 99%

“…The encoding of the solutions within these gene strings forms a key implementation challenge to using GA-based optimization. In our prior work 22 , each mission plan was represented as a gene string and each group of aircraft in the plan was represented by a field indicating if it was "active" (i.e. included in the plan) and by fields giving the grid coordinates for the four two-dimensional waypoints between its initial position and the target.…”

Section: Ga Optimizationmentioning

confidence: 99%

See 3 more Smart Citations

<title>Multi-objective optimization to support rapid air operations mission planning</title>

Gonsalves

Burge

2005

SPIE Proceedings

View full text Add to dashboard Cite

Within the context of military air operations, Time-sensitive targets (TSTs) are targets where modifiers such, "emerging, perishable, high-payoff, short dwell, or highly mobile" can be used. Time-critical targets (TCTs) further the criticality of TSTs with respect to achievement of mission objectives and a limited window of opportunity for attack. The importance of TST/TCTs within military air operations has been met with a significant investment in advanced technologies and platforms to meet these challenges. Developments in ISR systems, manned and unmanned air platforms, precision guided munitions, and network-centric warfare have made significant strides for ensuring timely prosecution of TSTs/TCTs. However, additional investments are needed to further decrease the targeting decision cycle. Given the operational needs for decision support systems to enable time-sensitive/time-critical targeting, we present a tool for the rapid generation and analysis of mission plan solutions to address TSTs/TCTs. Our system employs a genetic algorithm-based multi-objective optimization scheme that is well suited to the rapid generation of approximate solutions in a dynamic environment. Genetic Algorithms (GAs) allow for the effective exploration of the search space for potentially novel solutions, while addressing the multiple conflicting objectives that characterize the prosecution of TSTs/TCTs (e.g. probability of target destruction, time to accomplish task, level of disruption to other mission priorities, level of risk to friendly assets, etc.). INTRODUCTIONThe manner in which air power is employed during military operations has undergone a dramatic change. Where past engagements were focused on out-attriting enemy forces 1 , recent and future military operations have been, and mostly likely will be, characterized by more timely and accurate employment of air assets. This requirement is directly related to the types of targets (e.g. asymmetric forces) and limitations imposed by rules of engagement (e.g. limiting collateral damage, associated political issues, and minimizing casualties). Within this environment, the importance of speed and precision is tantamount, i.e. time-sensitive targeting is predominate.Time-sensitive targets (TSTs) are targets where modifiers such, "emerging, perishable, high-payoff, short dwell, or highly mobile" can be used 2 . Time-critical targets (TCTs) further the criticality of TSTs with respect to achievement of mission objectives and a limited window of opportunity for attack. The importance of TSTs within air operations has been met with a significant investment in advanced technologies and platforms to meet these challenges. Developments in ISR systems, manned and unmanned air platforms, precision guided munitions, and network-centric warfare have made significant strides for ensuring timely prosecution of TSTs and TCTs.Given the operation needs for decision support systems to enable time-sensitive targeting, we have developed a decision support tool for rapid development of air campaign mi...

show abstract

Section: User Interfacementioning

confidence: 99%

Section: Abstract Wargamermentioning

confidence: 99%

Section: Abstract Wargamermentioning

confidence: 99%

Section: Ga Optimizationmentioning

confidence: 99%

See 2 more Smart Citations

<title>Multi-objective optimization to support rapid air operations mission planning</title>

Gonsalves

Burge

2005

SPIE Proceedings

View full text Add to dashboard Cite

show abstract

“…Such tasks encounter complicated causal relationships and precedence constraints, and thus, task-resource allocation, calculation of the priority of resource and task, and elimination of conflict between resource and task are necessary. The consideration of the factors above makes the mission planning problem extremely complex [1][2][3][4][5][6][7].…”

Section: Introductionmentioning

confidence: 99%