Aerial cooperative combination formation (ACCF) become a new problem when the manned/unmanned combat agents task coalition performing the air-air task. The problem of ACC formation focuses on the method to allocate th...
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ISBN:
(纸本)9783642384608;9783642384592
Aerial cooperative combination formation (ACCF) become a new problem when the manned/unmanned combat agents task coalition performing the air-air task. The problem of ACC formation focuses on the method to allocate the weapon units, guidance units and targets in a time-slack in order to maximize the effectiveness of the task coalition. According to the operational context, a constrained optimization model was proposed for the problem and a novel nested genetic algorithm (NGA) was designed to solve the model. In NGA, the outer-loop of GA searched for the best weapon-guidance combination and the inner-loop of GA searched for the best weapon-target allocation. Aiming to discrete characteristics of the problem, the coding rules, crossover operators and mutation operators was specially designed. Experimental results show that the proposed algorithm can solve the three-dimensional ACCF problem effectively.
Aerial cooperative combination formation(ACCF) become a new problem when the manned/unmanned combat agents task coalition performing the air-air *** problem of ACC formation focuses on the method to allocate the weapo...
详细信息
Aerial cooperative combination formation(ACCF) become a new problem when the manned/unmanned combat agents task coalition performing the air-air *** problem of ACC formation focuses on the method to allocate the weapon units,guidance units and targets in a time-slack in order to maximize the effectiveness of the task *** to the operational context,a constrained optimization model was proposed for the problem and a novel nested genetic algorithm(NGA) was designed to solve the *** NGA,the outer-loop of GA searched for the best weapon-guidance combination and the inner-loop of GA searched for the best weapon-target *** to discrete characteristics of the problem,the coding rules,crossover operators and mutation operators was specially *** results show that the proposed algorithm can solve the three-dimensional ACCF problem effectively.
A nested genetic algorithm, including genetic parameter level and genetic implemented level for peak parameters, was proposed and applied for resolving overlapped spectral bands. By the genetic parameter level, parame...
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A nested genetic algorithm, including genetic parameter level and genetic implemented level for peak parameters, was proposed and applied for resolving overlapped spectral bands. By the genetic parameter level, parameters of generic algorithm were optimized; moreover, the number of overlapped peaks was determined simultaneously Then parameters of individual peaks were computed with the genetic implemented level.
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