Special Issue "Evolving Soft Computing Techniques and Applications"
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This special issue draws a picture of the recent advances and challenges in evolving soft-computing based systems including evolving fuzzy systems, evolving neural networks, dynamic evolutionary algorithms and any evolving hybrid systems (e.g. evolving neuro-fuzzy systems, evolving evolutionary neural networks, dynamic fuzzy evolutionary algorithms, etc.). It also includes many contributions dealing with real-world applications that present dynamic facets requiring on-line learning capabilities. The connection of evolving soft computing to specific machine learning has been shown in many of the contributions (e.g., papers 1 and 6). In sum, 104 papers have been submitted, out of which 16 papers containing outstanding contributions in the field of evolving soft computation techniques could be finally accepted.