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Simulated Annealing heuristic is used as an evolutionary methodology.
Genetic programming is an evolutionary methodology introduced by Koza [14] as an extension to GAs.
The main features of an evolutionary methodology deal with emergence, macrolaws, civil or societal transitions, macrosystem design, and the absorption of extreme events.
In this paper, we propose to use an evolutionary methodology in order to determine the values of the parameters for implementing the MUlticriteria RAnking MEthod (MURAME).
In addition to the trial-and-error approach for the design and parameterization of the ANN model, an evolutionary methodology that combines network design and parameterization with feature extraction from time series was also used (a detailed description of the system is presented in [ 15]).
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Enhancing the Simultaneous Engineering approach, RPD is an interdisciplinary evolutionary methodology to combine all influences of an engineering process to an iterative product development.
AgentTest methodology is also complemented with an evolutionary testing methodology for test case generation based on a multi-objective genetic algorithm.
In this paper, we propose an innovative preference-based multi-objective evolutionary methodology to perform the assignment and mapping stages.
Therefore, we devise an evolutionary optimization methodology for this same problem.
As an evolutionary computation methodology, GP can solve problems inspired by natural evolution without any prior knowledge of the solutions.
Our major contribution is the definition of an evolutionary optimization methodology that fully supports parameter adjustment of a multiscale shape descriptor for feature extraction and representation of leaf shapes in a high dimensional space.
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