Yugoslav Journal of Operations Research 2015 Volume 25, Issue 2, Pages: 185-219
https://doi.org/10.2298/YJOR131029020T
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Bee Colony Optimization - part II: The application survey
Teodorović Dušan (University of Belgrade, Faculty of Transport and Traffic Engineering, Belgrade, Serbia)
Šelmić Milica (University of Belgrade, Faculty of Transport and Traffic Engineering, Belgrade, Serbia)
Davidović Tatjana (Serbian Academy of Sciences and Arts, Mathematical Institute, Belgrade, Serbia)
Bee Colony Optimization (BCO) is a meta-heuristic method based on foraging
habits of honeybees. This technique was motivated by the analogy found
between the natural behavior of bees searching for food and the behavior of
optimization algorithms searching for an optimum in combinatorial
optimization problems. BCO has been successfully applied to various hard
combinatorial optimization problems, mostly in transportation, location and
scheduling fields. There are some applications in the continuous
optimization field that have appeared recently. The main purpose of this
paper is to introduce the scientific community more closely with BCO by
summarizing its existing successful applications.
Keywords: meta-heuristic methods, Swarm Intelligence, combinatorial optimization, routing, location, scheduling problems
Projekat Ministarstva
nauke Republike Srbije, br. OI174010, OI174033, TR36002