Concurrent Application of Genetic Algorithm in Pattern Recognition

Abstract. This paper proposes the fitness control procedure for the application of genetic algorithms (GA) in pattern recognition. Instead of using GA to solve a concomitant optimization problem, the task is rather represented as a set of data bitstrings, and a similarity measure among those data bitstrings. Then, the GA is used to select the subgroup yielding highest mutual similarity. The paper also provides and discusses some examples for such a procedure, taken from the fields: pattern classification, clustering, and measuring.

• Type: Conference
• Year: 2003
• Where: HIS
• Authors: Mario Köppen, Evgenia Dimitriadou
• Keywords: Concomitant Optimization Problem, Data Bitstrings, HIS 2003, HIS 2007, fitness Control Procedure