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Everything about Bees algorithm

Population-based search algorithm

In computer science and operations research, the bees algorithm is a population-based search algorithm which was developed by Pham, Ghanbarzadeh et al. in 2005. It mimics the food foraging behaviour of honey bee colonies. In its basic form, the algorithm combines local neighbourhood search with global exploration of the search space. It can be used for both combinatorial optimization and continuous optimization. The only condition for the application of the bees algorithm is that some measure of distance between the solutions is defined. A number of studies have demonstrated the specific capabilities and effectiveness of the bees algorithm. Wikipedia →

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  1. Read the overview: Bees algorithmA 5-minute orientation
  2. Skim a recent paper: Dung beetle optimizer: a new meta-heuristic algorithm for global optimizationInfluential work since 2022
  3. Pick up a classic book: Optimization in Engineering SciencesThe most-reprinted book on the subject
  4. Read the landmark paper: A powerful and efficient algorithm for numerical function optimization: artificial bee colony (ABC) algorithmCited 6,684 times
  5. Go sideways: Artificial bee colony algorithmA closely related topic
  6. Go sideways: List of metaphor-based metaheuristicsA closely related topic

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