Structural learning of Bayesian networks by bacterial foraging optimization
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- 作者：Cuicui Yanga ; yangcc_2008@163.com" class="auth_mail" title="E-mail the corresponding author ; Junzhong Jia ; jjz01@bjut.edu.cn" class="auth_mail" title="E-mail the corresponding author ; Jiming Liub ; 1 ; Jinduo Liua ; jiming@comp.hkbu.edu.hk" class="auth_mail" title="E-mail the corresponding author ; Baocai Yina
- 关键词：Bacterial foraging optimization ; Bayesian networks ; Structural learning ; Swarm intelligence
- 刊名：International Journal of Approximate Reasoning
- 出版年：2016
- 出版时间：February 2016
- 年：2016
- 卷：69
- 期：Complete
- 页码：147-167
- 全文大小：1101 K
文摘
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Reproduction selects elite individuals and realizes information transmission.
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Chemotaxis and elimination-and-dispersal maintain a balance between exploitation and exploration.
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Four operators serve as candidate directions for each bacterium to select.