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Everything about Biogeography-based optimization

Biogeography-based optimization (BBO) is an evolutionary algorithm (EA) that optimizes a function by stochastically and iteratively improving candidate solutions with regard to a given measure of quality, or fitness function. BBO belongs to the class of metaheuristics since it includes many variations, and since it does not make any assumptions about the problem and can therefore be applied to a wide class of problems. Wikipedia →

🧭 Start here: a 6-step reading path

  1. Read the overview: Biogeography-based optimizationA 5-minute orientation
  2. Skim a recent paper: Improved biogeography-based optimization algorithm for lean production scheduling of prefabricated componentsInfluential work since 2022
  3. Pick up a classic book: Evolutionary Computation with Biogeography-Based OptimizationThe most-reprinted book on the subject
  4. Read the landmark paper: Biogeography-Based OptimizationCited 3,790 times
  5. Go sideways: Quantum optimization algorithmsA closely related topic
  6. Go sideways: Constrained optimizationA closely related topic

📖 Definitions

No dictionary entry for this exact phrase.

🗂️ The subject at a glance

  1. Underlying principles
  2. Algorithm
  3. Discussion of the BBO algorithm
  4. Algorithmic variations
  5. Hybridization
  6. Software
  7. Extensions
  8. Mathematical analyses
  9. Applications

🏆 Landmark papers (most cited)

🆕 Influential since 2022

📚 Books worth reading

Ranked by number of editions on Open Library, a rough measure of how lasting a book is.

🔗 Related topics