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For the aloha based anti-collision algorithm in RFID networks, the tag collisions could greatly reduce the throughput of the system. If the number of tags was gotten, the throughput could be greatly improved. Based on maximum likelihood estimation, the proposed hybrid tag number estimation scheme combined the binary search based anti-collision algorithm and aloha based anti-collision algorithm to...
A hybrid differential evolution (HDE) approach derived from both the differential evolution (DE) and the particle swarm optimization (PSO) is proposed. In HDE, individuals in a new generation are created, not only by crossover and mutation operation as in DE, but also by PSO operations. The concepts of inertia weight and neighbor topology are adopted in HDE. The former is employed to provide consistency...
The 0-1 knapsack problem (KP) is a classical NP-hard problem with binary decision variables. The traditional differential evolution (DE) is an effective stochastic parallel search evolutionary algorithm and customized to continuous function optimization. To solve KPs, based on DE, a discrete binary version of differential evolution (DBDE) was employed, where each component of a mutated vector component...
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