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The FHO-based optimization process for the transmission sequence includes several main steps. It starts with initialization, generating a random permutation of the N nodes. Then, each candidate sequence is evaluated using our new objective function that considers both frame length and reliability. Then comes the grouping step, where several preys are assigned to each fire hawk. After that, the positions of the fire hawks and preys are updated according to the FHO rules to generate a new population. This process of evaluation and position updating is repeated iteratively, with the global best solution updated continuously. At the end, the final global best solution gives us the optimal transmission sequence. |
IEEE/ICACT20260317 Slide.16
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