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Optimization models for allocation of air strike assets. Strike planning is one of the fundamental tasks of an advanced Air Force and involves the assignment of strike aircraft to ground targets with a maximum level of efficiency. Therefore, planning an optimal strike based on the preferences of the decision maker is crucial. The efficiency of the strike plan in this paper implies attacking the maximum number of targets while considering target Cited by: 6. model developed here cover only the air aspects of the problem. The model of this paper was first described in a Naval Postgraduate School master s thesis [Lim, , which was sponsored by USAF/SAA. In this research, the strategic airlift assets optimization problem is formulated as a. Download Citation | Maximizing strike aircraft planning efficiency for a given class of ground targets | Strike planning is one of the fundamental tasks of an advanced Air Force and involves the.
Li et al.  used the GUBMKP formulation to model a strike force asset allocation problem. Li and Curry  used a critical-event tabu-search method with navigation on both sides of the. Abstract. The use of optimization models in decision making in the airline industry has become the norm in the modern economy. Optimization models in airline operations can be used for scheduling crews to provide professional services without overworking them, assigning high-capital equipment efficiently, selecting flight routes to cover demand for the services, and scheduling arrival slot. One drawback of aluminum-air batteries is di culty in recharging the battery without a signi cant loss in capacity. A proposed economic model involves replacing and recycling the aluminum plates after discharge instead, which entails an estimated cost of $/kg of aluminum anode.2 Like lithium-air batteries, aluminum-. One fundamental yield management model consid-ers a single ﬂight leg with booking requests arriving in order of booking class. This single-leg model can be analyzed to determine the structure of optimal book-ing policies and the optimal policy parameters. Be .
Dynamic tactical air strike asset allocation using evolutionary computation Abstract: This work discusses the use of evolutionary search for automatically allocating tactical air strike assets in a coupled environment. The coupling references the dependencies that exist between SEAD and strike force assets assigned to threat and target. SIMULATION AND OPTIM 3 IZATION METHODS FOR ASSESSING THE IMPACT OF AVIATION OPERATIONS ON THE ENVIRONMENT € x ˙ =Vcosϕcosγ+u(x,y) y ˙ =Vsinϕcosγ+v(x,y) E ˙ =(T−D)V/mg h ˙ =Vsinγ γ˙ =(Lcosφ−mgcosγ)/mVϕ˙ =Lsinφ/mVcosγ m ˙ =−σ(h,V,T) (1) where x is the downrange position, y is the cross track position, E is the energy height, h is the. Model framework and formulation In this section, a novel mixed integer linear programming model is proposed that generates optimized flight and maintenance schedules. The model is defined to optimize the operational readiness, while taking into account all relevant operational requirements and maintenance capacity limitations. Abstract: Dynamic command and control and battle management functions require fast and effective decision aids to provide optimal allocation of resources (object/sensor pairing, weapon/target assignment) for effective engagement and real-time battle damage assessment. The basic Weapon Target Assignment (WTA) problem considers the assignment of a set of platforms/weapons to a set of .