Role of Hybrid Evolutionary Algorithms in Pattern Recognition
نویسندگان
چکیده
The Pattern Recognition has attracted the attention of researchers in last few decades as a machine learning approach due to its wide spread application areas. The application area includes medicine, communications, automations, military intelligence, data mining, bioinformatics, document classification, speech recognition, business and many others. Evolutionary computation has become an important problem solving methodology among many researchers. The population-based collective learning process, self-adaptation, and robustness are some of the key features of evolutionary algorithms when compared to other global optimization techniques. Even though evolutionary computation has been widely accepted for solving several important practical applications in engineering, business, commerce, etc., but in this review paper, we illustrate the various possibilities for hybridization of an evolutionary algorithm and their application in the field of Pattern
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