Some computer science issues in ubiquitous computing
Communications of the ACM - Special issue on computer augmented environments: back to the real world
Evolutionary computation: toward a new philosophy of machine intelligence
Evolutionary computation: toward a new philosophy of machine intelligence
Evolution and Optimum Seeking: The Sixth Generation
Evolution and Optimum Seeking: The Sixth Generation
Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms in Search, Optimization and Machine Learning
Genome Length as an Evolutionary Self-adaptation
PPSN V Proceedings of the 5th International Conference on Parallel Problem Solving from Nature
Ambient Intelligence: A Multimedia Perspective
IEEE MultiMedia
Evolutionary computation: comments on the history and current state
IEEE Transactions on Evolutionary Computation
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Smart-appliances ensembles are highly dynamic device collections in which devices can leave and join at any time without notice. Due to the high system dynamics, such ensembles cannot employ standard evolutionary algorithms for their internal self-organization processes. Therefore, this paper proposes a new evolutionary framework, called the appliances-go-evolution platform (AGE-P). The simulation experiments indicate that AGE-P is able to properly cope with the peculiarities of smart-appliances ensembles and that it is thus a suitable option for their self-organization processes.