人工蜂群算法简介英文PPT教案.pptx

人工蜂群算法简介英文

References

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D. Karaboga, An idea based on honey bee swarm for numerical optimization. Technical Report-TR06,

Erciyes University, Engineering Faculty, Computer Engineering Department, 2005

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B. Basturk, D. Karaboga, An artificial bee colony (abc) algorithm for numeric function optimization, in:

IEEE Swarm Intelligence Symposium 2006,Indianapolis, Indiana, USA, May 2006.

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D. Karaboga,B.Akay,A comparative study of artificial bee colony algorithm,Applied Mathematics and

Computation 214 (2009) 108-132

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1.INTRODUCTION

Two fundamental concepts:self-organization and division of labour

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Self organization relies on four basic properties : positive feedback,negative

feedback,fluctuations and multiple interactions

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Division of labour is believed to be more efficient than the sequential task

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The emergence of collective intelligence of honey bee swarms consists of

Food sources

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Employed foragers

Unemployed foragers

the model defines two leading modes of the behaviour:

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The recruiment to a nectar source

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The abandonment of a source

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