Abstract
This paper describes a new approach for building evolutionary optimisation algorithms inspired by concepts borrowed from evolution of social behaviour. The proposed approach utilises a set of behaviours used as operators that work on a population of individuals. These behaviours are used and evolved by groups of individuals to enhance the group adaptation to the environment and to other groups as well. Each group has two sets of behaviours: one for intra-group interactions and one for inter-group interactions. These behaviours are evolved using mathematical models from the field of evolutionary game theory. This paper describes the proposed paradigm and starts studying its characteristics by building a new evolutionary algorithm and studying its behaviour.
Published Version
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