Multi-objective evolutionary design of fuzzy logic controllers for car parking problem

摘要: This paper proposes an automatic method to design a fuzzy logic controller for the automated car parking problem. To tackle problem, of is solved under multi-objective evolutionary optimization framework, which requires three factors: encoding scheme, evaluation criteria, and proper operations. Along with parameters antecedent membership functions, consequent parameter vectors are defined in chromosome so that can modify its antecedent/consequent rule structure simultaneously during evolution. Three criteria proposed find set good controllers using Pareto optimality. The algorithm applied well-known problem produces control motion vehicle parking. Each has unique characteristics be selected according users' preferences, one major advantages