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Tan, L. and Guo, L. (2009) Quantum and biogeography based optimization for a class of combinatorial optimization. Proceedings of the first ACM/SIGEVO Summit on Genetic and Evolutionary Computation, ACM, Shanghai, 969-972.

被以下文章引用:

• 标题: 生物地理学优化算法研究进展Research Process of Biogeography-Based Optimization

  作者: 冯思玲, 朱清新

  关键字: BBO算法, 研究进展, 迁移算子, 变异算子, 进化算法Biogeography-Based Optimization, Research Process, Migration Operation, Mutation Operation, Evolution Computation

  期刊名称: 《Operations Research and Fuzziology》, Vol.4 No.2, 2014-06-03

  摘要: 生物地理学优化(BBO)算法是基于生物地理学上物种的迁徙分布灭亡规律提出的一种优化算法。本文首先简述了BBO的算法思想，其次从BBO算法的理论研究，改进策略及应用领域三个方面详细论述BBO的研究进展，最后讨论了BBO算法的未来发展趋势和研究方向。 Biogeography-based optimization algorithm is an optimization method based on migration, distribution and extinction law of species biogeography. First, biogeography-based optimization algorithm is described. Second, research process of biogeography-based optimization algorithm are discussed in detail from three different facts which are theory research, improvement strategy and application areas. At last, further development trend and research direction of biogeography-based optimization algorithm are discussed.