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Swarm Intelligence in Optimization and Robotics

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Springer Handbook of Computational Intelligence

Part of the book series: Springer Handbooks ((SHB))

Abstract

Swarm intelligence is an artificial intelligence discipline, which was created on the basis of the laws that govern the behavior of, for example, social insects, fish schools, and flocks of birds. The organization of these animal societies has always mesmerized humans. Therefore, it is surprising that it has only been in the second half of the last century that some of the most important principles of swarm intelligent behavior have been unraveled. A prime example is stigmergy, which refers to a self-organization of the animal society via changes applied to the environment.

In this chapter, we provide a concise introduction to swarm intelligence, with two main research lines in mind: optimization and robotics. Popular examples of optimization algorithms based on swarm intelligence principles are ant colony optimization and particle swarm optimization. On the other side, the field of robotics has adopted various swarm intelligent behaviors for problem solving and organizing groups of robots. This has resulted in a separate research field nowadays known as swarm robotics.

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Abbreviations

ABC:

artificial bee colony

ACO:

ant colony optimization

ACS:

ant colony system

AFSA:

artificial fish swarm algorithm

CA:

cellular automata

CEBOT:

cellular robot

DRRS:

dynamically reconfigurable robotic system

FA:

firefly algorithm

LED:

light emitting diode

PSO:

particle swarm optimization

SI:

swarm intelligence

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  1. Dep. Computer Science and Artificial Intelligence, University of the Basque Country, Paseo Manuel Lardizabal 1, 20018, San Sebastian, Spain

    Christian Blum

  2. Dep. Automatic Control and Systems Engineering, University of Sheffield, Mappin Street, S1 3JD, Sheffield, UK

    Roderich Groß

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    Janusz Kacprzyk

  2. Dep. Electrical and Computer Engineering, University of Alberta, 116 Street 9107, T6J 2V4, Edmonton, Alberta, Canada

    Witold Pedrycz

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Blum, C., Groß, R. (2015). Swarm Intelligence in Optimization and Robotics. In: Kacprzyk, J., Pedrycz, W. (eds) Springer Handbook of Computational Intelligence. Springer Handbooks. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-43505-2_66

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