GA-Fuzzy Approaches: Application to Modeling of Manufacturing Process

  • Arup Kumar Nandi

Abstract

This chapter presents various techniques using the combination of fuzzy logic and genetic algorithm (GA) to construct model of a physical process including manufacturing process. First, an overview on the fundamentals of fuzzy logic and fuzzy inferences systems toward formulating a rule-based model (called fuzzy rule based model, FRBM) is presented. After that, the working principle of a GA is discussed and later, how GA can be combined with fuzzy logic to design the optimal knowledge base of FRBM of a process is presented. Results of few case studies of modeling various manufacturing processes using GA-fuzzy approaches conducted by the author are presented.

Keywords

Genetic Algorithm Membership Function Fuzzy Rule Fuzzy Inference System Fuzzy Subset 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • Arup Kumar Nandi
    • 1
  1. 1.Central Mechanical Engineering Research Institute (CSIR-CMERI)DurgapurIndia

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