Affiliation:
1. Center of Research and Advanced Studies of the National Polytechnic Institute, Guadalajara Campus Av. del Bosque 1145, El Bajio, Zapopan, Jalisco 45019, Mexico e-mail:
Abstract
Numerical problems are usually solved using heuristic algorithms, due to their simplicity and easy understanding. Nevertheless, most of these methods have calibration parameters that do not count with selection premises oriented to obtain the best performance for the algorithm. This paper introduces an iterative technique that deals with this problem, searching for the calibration parameters that improve the Differential Evolution (DE) algorithm. The application of the proposed technique is illustrated on a real burst location problem in a pipeline prototype. The obtained results show the good performance of the methodology proposed for the burst location task, including the mapping of the calibration parameters that ameliorate the searching process.
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