An idea based on honey bee swarm for numerical optimization
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AN IDEA BASED ON HONEY BEE SWARM FOR NUMERICAL OPTIMIZATION
(TECHNICAL REPORT-TR06, OCTOBER, 2005)
Dervis KARABOGA
karaboga@erciyes.edu.tr
Erciyes University, Engineering Faculty
Computer Engineering Department
Kayseri/Türkiye
I. INTRODUCTION
Swarm intelligence has become a research interest to many research scientists of related fields
in recent years. Bonabeau has defined the swarm intelligence as “any attempt to design
algorithms or distributed problem-solving devices inspired by the collective behaviour of
social insect colonies and other animal societies” [1]. Bonabeau et al. focused their viewpoint
on social insects alone such as termites, bees, wasps as well as other different ant species.
However, the term swarm is used in a general manner to refer to any restrained collection of
interacting agents or individuals. The classical example of a swarm is bees swarming around
their hive; nevertheless the metaphor can easily be extended to other systems with a similar
architecture. An ant colony can be thought of as a swarm whose individual agents are ants.
Similarly a flock of birds is a swarm of birds. An immune system [2] is a swarm of cells and
molecules as well as a crowd is a swarm of people [3]. Particle Swarm Optimization (PSO)
Algorithm models the social behaviour of bird flocking or fish schooling [4].
基于蜂群的数值优化思想
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