Abstract
In this part of the book we discuss algorithms which are metaphorically inspired by a variety of social behaviours. The essence of these behaviours is that individuals can learn from both their own experience and from the experience of others. Hence a group can solve complex tasks which are beyond the capability of any of the individuals in the group. Crucially, this does not occur merely because the task is divided up amongst multiple individuals; rather it occurs because they can communicate with each other and thereby create a shared understanding of the problem. Even populations of individuals with limited information-processing abilities may be able to solve difficult problems, if the individuals communicate and cooperate.
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© 2015 Springer-Verlag Berlin Heidelberg
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Brabazon, A., O’Neill, M., McGarraghy, S. (2015). Particle Swarm Algorithms. In: Natural Computing Algorithms. Natural Computing Series. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-43631-8_8
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DOI: https://doi.org/10.1007/978-3-662-43631-8_8
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-662-43630-1
Online ISBN: 978-3-662-43631-8
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