Method for performing interference decision by using a tabu search artificial bee colony algorithm
An artificial bee colony algorithm and tabu search technology, which is applied in the field of interference decision-making under the tabu search artificial bee colony algorithm, can solve the problems of low convergence speed and optimization probability of ant colony algorithm and genetic algorithm
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[0019] This embodiment provides a new interference decision-making method capable of reducing the number of iterations and increasing the optimization probability in the interference decision-making process, which specifically includes the following steps:
[0020] Select commonly used indicators such as interference power, interference frequency, interference coverage space, and interference pattern to measure the interference benefit, and use the vector Q=[q 1ij ,q 2ij ,q 3ij ,q 4ij ] indicates the above four indicators for assessing the effectiveness of interference, and the importance of the four indicators is graded according to the actual mode of the battlefield, [q 1ij ,q 2ij ] is most important, [q 3ij ] Next, [q 4ij ] Again. According to this importance, the weight vector of the four indicators is calculated by using the AHP, which is recorded as ε=[ε 1 ,ε 2 ,ε 3 ,ε 4 ]. Then the interference benefit can be expressed as:
[0021]
[0022] Jamming power ...
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