Bee-Inspired Optimization is a computational optimization paradigm within swarm intelligence that emulates the foraging and social communication behaviors of honey bees to efficiently explore and exploit solution spaces in complex problem domains.
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A novel clustering approach: Artificial Bee Colony (ABC) algorithm
Derviş Karaboğa, Celal Öztürk · Applied Soft Computing · 2009 · 1.1K citations
Computing, Data Science, Data Mining +10
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Erciyes University
Kayseri, Türkiye
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84 publications
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Wuhan, China
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105 publications
6.7K citations
Liaocheng University
Liaocheng, China
21 h-index
42 publications
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Wuhan University of Technology
Wuhan, China
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70 publications
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University of Belgrade
Belgrade, Serbia
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59 publications
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Nanyang Technological University
Singapore, Singapore
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51 publications
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University of Birmingham
Birmingham, United Kingdom
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42 publications
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Shenyang, China
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