Yazar "Canayaz M." seçeneğine göre listele

Listeleniyor 1 - 2 / 2
  • Küçük Resim Yok
    Öğe
    Investigation of cricket behaviours as evolutionary computation for system design optimization problems
    (Elsevier B.V., 2015) Canayaz M.; Karci A.
    In this study, the behaviours of an insect species called cricket were investigated and tried to develop a new meta-heuristic algorithm approach that may be used in solving optimization problems by modelling these behaviours. These insect species make a sound by flapping their wings and attract the other crickets around them. While creating this algorithm, the physics laws related to propagation of sound as well as the crickets ability to predict the temperature with the number of flaps were also considered. The approach performance was tried to be shown by applying the developed approach at the end of the study to both numeric problems and cantilever stepped and welded beam that are of system design optimization problems. © 2015 Elsevier Ltd. All rights reserved.
  • Küçük Resim Yok
    Öğe
    A novel approach for image compression based on multi-level image thresholding using discrete wavelet transform and cricket algorithm
    (Institute of Electrical and Electronics Engineers Inc., 2015) Canayaz M.; Karci A.
    Applications of image compression is important in terms of time and resource management considering factors such as require more time to send according to the size of image over the network and large amount of space is high dimensional data for storing images. In this study, a new approach can be using at image compression process will be introduced. Firstly, image subjected to discrete wavelet transform for extracting feature. Then multi-level threshold values will be find with Shanon entropy in the obtained image. The maximum value of objective function will be obtained with the help of cricket algorithm at the threshold values finding step. This algorithm is a meta-heuristic algorithm that based on population. The threshold values that obtained through algorithm using to compressing the images will be provided. At the end of the study, the image compression ratio, the proposed approach running on a standard test image will be given. © 2015 IEEE.