Artificial Neural Networks: A Tutorial
Computer - Special issue: neural computing: companion issue to Spring 1996 IEEE Computational Science & Engineering
ACM Computing Surveys (CSUR)
Introduction to artificial life
Introduction to artificial life
Soft computing: integrating evolutionary, neural, and fuzzy systems
Soft computing: integrating evolutionary, neural, and fuzzy systems
Model-based adaptation for self-healing systems
WOSS '02 Proceedings of the first workshop on Self-healing systems
A POEtic architecture for bio-inspired hardware
ICAL 2003 Proceedings of the eighth international conference on Artificial life
MDA Distilled
Classification of Software and Hardware Bio-inspired Systems
AICCSA '06 Proceedings of the IEEE International Conference on Computer Systems and Applications
A phylogenetic, ontogenetic, and epigenetic view of bio-inspired hardware systems
IEEE Transactions on Evolutionary Computation
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Nowadays, we notice a proliferation of bio-inspired approaches that use various biological metaphors to deal with software complexity and maintenance. This proliferation is emphasized by the amount of improvement that has occurred in hardware technology as well as development tools and methods. Unfortunately, we notice a lack of a suitable framework that positions approaches, characterizes their concepts and favor their enhancement. In this article, we propose a set of criteria for characterizing bio-inspired software systems and show that software evolution can be dealt with using natural processes.