Research On Case-Based Reasoning Based On Genetic Algorithm And Tabu Search

Case-Based Reasoning is a kind of important methods for question answering and learning based on knowledge which grows up recently in artificial intelligence field. It is to reason answer for new problem based on the past successful or failed cases. It is a new reasoning technology combing knowledge base with reasoning. In recent years, Case-Based Reasoning research and its system development has received people's universal attention. Case-Based Reasoning is a strategy which gets the most similar source case in the memory by the hints of the target case and gets the answers by the instruction of the source case. Case-Based Reasoning is not only about human cognition psychology theory, but also will become the foundation stone of the intelligent computer system technology. Case-Based Reasoning can be used in many different fields, especially in the fields which are difficult to conclude experts' knowledge. But there are some problems in Case-Based Reasoning as well, mainly embodies in Case-Based project automation, that is automatic production of case knowledge, such as case structure and its contents, similar evaluation knowledge, automatic updating of case-base, achievement of amendment knowledge database, index pattern etc. But there are also some choke point problems in attaining this knowledge which is accumulated slowly by experts in specified fields and knowledge engineers.As to target case given, how to check and choose the most similar case from case-base decides learning and reasoning functions of case-based reasoning system. The similarity between cases is the key. The feature weight of case plays an important role in checking quality and speed of index. Extract for feature weight of case-base is also to discover that different characters of case have different importance.Generic Algorithm is a parallel highly, organically itself, adapt itself searching algorithm referring to mechanism of nature selection and nature inheritance in biology field. Because of its two prominent features which are connotative parallel and convergent globality, Generic Algorithm is typically suitable to process complex...