Method for finding optimal path for Adhoc network based on improved genetic-ant colony algorithm
An ant colony algorithm and optimal path technology, applied in network topology, advanced technology, electrical components, etc., can solve the problem that the local optimal solution cannot reach the global optimal
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[0039] A non-limiting embodiment is given below in conjunction with the accompanying drawings to further illustrate the present invention. It should be understood, however, that these descriptions are exemplary only, and are not intended to limit the scope of the invention. Also, in the following description, descriptions of well-known structures and techniques are omitted to avoid unnecessarily obscuring the concept of the present invention.
[0040] The AODV routing process based on the improved genetic-ant colony algorithm provided by the present invention comprises the following algorithm steps:
[0041] Step 1: Encoding the chromosomes in the genetic algorithm, population initialization, fitness function, and genetic operations to obtain the distribution of the initial pheromone in the ant colony algorithm;
[0042] Step 2: Select an appropriate judgment function, make appropriate judgments on the timing conversion of the two algorithms, and avoid the algorithm from fall...
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