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Various meta-heuristic search methods have been employed to resolve the sensor arrangement problem, which is a type of NP-hard, combinational problem. However, the difficulty of weight tuning, when formulating a single objective function, is the chief obstacle to the use of the single-objective optimization methods. Although multiobjective optimization methods have been applied recently to avoid the...
Chromosome representation to search the optimal intersection points between adjacent fuzzy membership functions is originally presented for optimal design of fuzzy classifiers. Since the proposed representation contains the intersection points directly related to the boundary of classification, it is intuitively expected that redundancy of the search space is reduced and the performance is better...
We present a noble encoding method for designing an optimal fuzzy classifier with evolutionary optimization. Evolutionary designs of fuzzy classifiers is divided into design of fuzzy rules and design of fuzzy membership functions. Among these design problems, for an evolutionary design of membership functions, the shapes of each membership function are mainly considered in the previous related works...
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