An Efficient Evolutionary Algorithm for Optimal Arrangement of RFID Reader Antenna

Soon, Nam-Soon; Yeo, Myung-Ho; Yoo, Jaesoo

doi:10.5392/jkca.2009.9.10.040

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2011

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“…As a result, a number of calculus-based optimization techniques were proposed and incorporated to solve this optimization problem [1][2][3]. These techniques, however, can fail in the actual situation, for example, when the measured data are noisy and the model equations are inaccurate, since they can cause the objective function to be complex such as nonconvex and multimodal.…”

Section: 서 론mentioning

confidence: 99%

Evolutionary Analysis for Continuous Search Space

이준성¹,

배병규²

2011

Journal of Korean Institute of Intelligent Systems

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In this paper, the evolutionary algorithm was specifically formulated for optimization with continuous parameter space. The proposal was motivated by the fact that the genetic algorithms have been most intensively reported for parameter identification problems with continuous search space. The difference of primary characteristics between genetic algorithms and the proposed algorithm, discrete or continuous individual representation has made different areas to which the algorithms should be applied. Results obtained by optimization of some well-known test functions indicate that the proposed algorithm is superior to genetic algorithms in all the performance, computation time and memory usage for continuous search space problems.

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Section: 서 론mentioning

confidence: 99%