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並列摘要


A novel Cooperative Bee Swarm Optimization (CBSO) algorithm based on foraging behaviour of honey bees is presented. The CBSO employs cooperative behaviours of multiple swarms in optimizing numerical functions. The proposed approach provides different patterns which are used by the bees to adjust their flying trajectories. The flying patterns provide an efficient way to balance exploration and exploitation. Cooperation is obtained by sharing information between swarms through a leader swarm. Also, a colonization process is performed between swarms. In colonization process a portion of an extinct swarm is replaced with the individuals from a colonist swarm. The proposed algorithm was tested on a set of well-known test functions. Results have shown that the proposed algorithm is efficient, robust, and outperforms other genetic, particle swarm, and bee algorithms examined in this paper.

被引用紀錄


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郭俊彥(2013)。圖的權重選擇性〔碩士論文,國立臺灣大學〕。華藝線上圖書館。https://doi.org/10.6342/NTU.2013.00802
黃建彰(2012)。乳酸菌Lactobacillus paracasei 菌體及發酵菌液對免疫功效之評估〔碩士論文,國立虎尾科技大學〕。華藝線上圖書館。https://www.airitilibrary.com/Article/Detail?DocID=U0028-0806201211070300
林智群(2012)。分散型動態頻道配置於蜂巢式行動網路之通話允入模糊控制〔碩士論文,朝陽科技大學〕。華藝線上圖書館。https://www.airitilibrary.com/Article/Detail?DocID=U0078-1511201214172785

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