ITM Web Conf.
Volume 19, 2018Computer Applications in Electrical Engineering (ZKwE’2018)
|Number of page(s)||2|
|Published online||21 September 2018|
Constrained optimization using penalty function method combined with genetic algorithm
Poznan University of Technology, Institute of Electrical Engineering and Electronics, 60-965 Poznan, Poland
Corresponding author: firstname.lastname@example.org
In the paper the way of adaptation of the penalty function method to the genetic algorithm is presented. In case of application of the external penalty function, the penalty term may exceed the value of the primary objective function. This means, that the value of the modified objective function is negative, while in genetic algorithm the adaptation must be of positive value, especially it in the selection procedure utilizes the roulette method. The sigmoidal transformation is applied to solve this problem. The computer software is developed in the Delphi environment. The proposed approach is applied to optimization of the electromagnetic linear actuator.
© The Authors, published by EDP Sciences, 2018
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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