Self-adaptive systems framework based on agent and search-based optimization

Future-generation SASs need to have the adaptive abilities to efficiently handle changes from different sources and to mitigate conflicts caused by multiple simultaneous changes. However, existing methods cannot simultaneously make Future-generation SASs have the above abilities. This paper proposes an adaptive system framework based on agent technology and search-based software engineering technology (SBSE) for developing future-generation SASs with above-mentioned abilities. The framework integrates a hybrid adaptation logic based on agents to deal with various software changes from different layers, and an adaptation planning method with search-based optimization mechanism to mitigate conflicts caused by multiple simultaneous changes.