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In this paper we are presenting a modification of a bio-inspired algorithm based on the bee behavior (BCO, bee colony optimization) for optimizing fuzzy controllers.
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Simulations also show the simplicity of applying and efficiency of the proposed algorithm for designing an MPC based on the bees algorithm.
Based on the artificial bee colony (ABC) algorithm, we propose an efficient artificial bee colony (EABC) algorithm for solving the on-line path planning of multiple mobile robots by choosing the proper objective function for target, obstacles, and robots collision avoidance.
Additionally, an optimization method based on the artificial bee colony (ABC) algorithm is proposed to improve the reconstruction performance.
Based on the artificial bee colony (ABC) paradigm, this paper proposes a population reduction method and a boundary repair method.
Additionally, this paper also proposes a hardware-achievable measurement matrix optimization method based on the artificial bee colony (ABC) algorithm to improve the reconstruction performance in practical applications.
Inspired by foraging behavior and based on the artificial bee colony (ABC) algorithm [15], Karaboga defined clustering as a process of identifying natural grouping or swarm in multi-dimensional data.
To improve the reconstruction performance, a method for optimizing the measurement matrix, which is based on the artificial bee colony (ABC) algorithm, is proposed in Section 4. The simulation results are provided in Section 5 to demonstrate the effectiveness of the proposed algorithm.
The adequacy of the approach was assessed by integrating statistical tools and gene annotations based on the honey bee genome.
The assignment of genes with related neural function based on the honey bee genome to the same group or groups with similar profile further validated the appropriateness of the semiparametric results.
All the edges in Figure 1 were also inferred when the complete honey bee data set was analyzed and thus, results based on the complete honey bee data set are discussed.
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