Adaptive multiobjective memetic optimization: algorithms and applications
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Date
2012-08, 2012-12, 2014-03, 2014-05, 2014-12, 2015-07
Authors
Dang, Hieu
Journal Title
Journal ISSN
Volume Title
Publisher
Journal of Cognitive Informatics and Natural Intelligence
WSEAS Transactions on Signal Processing
Journal of Advanced Mathematics and Applications
IEEE International Conference on Cognitive Informatics and Cognitive Computing
IEEE Canadian Conference on Electrical and Computer Engineering
International Conference on Neural Networks and Fuzzy Systems
WSEAS Transactions on Signal Processing
Journal of Advanced Mathematics and Applications
IEEE International Conference on Cognitive Informatics and Cognitive Computing
IEEE Canadian Conference on Electrical and Computer Engineering
International Conference on Neural Networks and Fuzzy Systems
Abstract
The thesis presents research on multiobjective optimization based on memetic computing and its applications in engineering. We have introduced a framework for adaptive multiobjective memetic optimization algorithms (AMMOA) with an information theoretic criterion for guiding the selection, clustering, and local refinements. A robust stopping criterion for AMMOA has also been introduced to solve non-linear and large-scale optimization problems. The framework has been implemented for different benchmark test problems with remarkable results.
This thesis also presents two applications of these algorithms. First, an optimal image data hiding technique has been formulated as a multiobjective optimization problem with conflicting objectives. In particular, trade-off factors in designing an optimal image data hiding are investigated to maximize the quality of watermarked images and the robustness of watermark. With the fixed size of a logo watermark, there is a conflict between these two objectives, thus a multiobjective optimization problem is introduced. We propose to use a hybrid between general regression neural networks (GRNN) and the adaptive multiobjective memetic optimization algorithm (AMMOA) to solve this challenging problem. This novel image data hiding approach has been implemented for many different test natural images with remarkable robustness and transparency of the embedded logo watermark. We also introduce a perceptual measure based on the relative Rényi information spectrum to evaluate the quality of watermarked images.
The second application is the problem of joint spectrum sensing and power control optimization for a multichannel, multiple-user cognitive radio network. We investigated trade-off factors in designing efficient spectrum sensing techniques to maximize the throughput and minimize the interference. To maximize the throughput of secondary users and minimize the interference to primary users, we propose a joint determination of the sensing and transmission parameters of the secondary users, such as sensing times, decision threshold vectors, and power allocation vectors. There is a conflict between these two objectives, thus a multiobjective optimization problem is used again in the form of AMMOA. This algorithm learns to find optimal spectrum sensing times, decision threshold vectors, and power allocation vectors to maximize the averaged opportunistic throughput and minimize the averaged interference to the cognitive radio network.
Description
Keywords
Multiobjective optimization, Memetic computing, Information hiding, Image watermarking, Spectrum sensing, Computational intelligence, Cognitive radio networks, Multiscale information measures, Perceptual measures, Neural networks, Power allocation, Wavelets, Human visual systems
Citation
Hieu V. Dang and Witold Kinsner, "Multiobjective multivariate optimization of joint spectrum sensing and power control in cognitive wireless networks," International Journal of Cognitive Informatics and Natural Intelligence (Accepted for publication, Aug. 2015).
Hieu V. Dang, Witold Kinsner, and YingxuWang, "Multiobjective image data hiding based on neural networks and memetic optimization," WSEAS Trans. Signal Processing, vol. 10, pp. 645-661, Dec. 2014.
Hieu V. Dang and Witold Kinsner, "A perceptual data hiding mathematical model for color image protection," Journal of Advanced Mathematics and Applications, vol. 1, no. 2, pp. 218-233, Dec. 2012.
Hieu V. Dang and Witold Kinsner, "An analytical multiobjective optimization of joint spectrum sensing and power control in cognitive radio networks," in Proc. of the 14th IEEE Intern. Conf. on Cognitive Informatics and Cognitive Computing, ICCI*CC 2015, (Beijing, China: July 6-8, 2015), pp. 39-48, 2015.
Hieu V. Dang and Witold Kinsner, "A multiobjective memetic optimization for spectrum sensing and power allocation in cognitive wireless networks," in Proc. of the IEEE Canadian Conf. on Electrical and Computer Engineering, CCECE 2014, (Toronto, Canada: May 4.7), pp. 1-6 , 2014.
Hieu V. Dang and Witold Kinsner, "Optimal colour image watermarking using neural networks and multiobjective memetic optimization," in Proc. of the 2014 Intern. Conf. on Neural Networks and Fuzzy Systems, ICNN-FS 2014, (Venice, Italy; March 15-17, 2014), pp. 63-74, 2014.
Hieu V. Dang and Witold Kinsner, "An intelligent digital color image watermarking approach based on wavelet transform and general regression neural network," in Proc. of the 11th IEEE Intern. Conf. on Cognitive Informatics and Cognitive Computing, ICCI*CC 2012, (Kyoto, Japan: August 22-24, 2012), pp. 115-123, 2012.
Hieu V. Dang, Witold Kinsner, and YingxuWang, "Multiobjective image data hiding based on neural networks and memetic optimization," WSEAS Trans. Signal Processing, vol. 10, pp. 645-661, Dec. 2014.
Hieu V. Dang and Witold Kinsner, "A perceptual data hiding mathematical model for color image protection," Journal of Advanced Mathematics and Applications, vol. 1, no. 2, pp. 218-233, Dec. 2012.
Hieu V. Dang and Witold Kinsner, "An analytical multiobjective optimization of joint spectrum sensing and power control in cognitive radio networks," in Proc. of the 14th IEEE Intern. Conf. on Cognitive Informatics and Cognitive Computing, ICCI*CC 2015, (Beijing, China: July 6-8, 2015), pp. 39-48, 2015.
Hieu V. Dang and Witold Kinsner, "A multiobjective memetic optimization for spectrum sensing and power allocation in cognitive wireless networks," in Proc. of the IEEE Canadian Conf. on Electrical and Computer Engineering, CCECE 2014, (Toronto, Canada: May 4.7), pp. 1-6 , 2014.
Hieu V. Dang and Witold Kinsner, "Optimal colour image watermarking using neural networks and multiobjective memetic optimization," in Proc. of the 2014 Intern. Conf. on Neural Networks and Fuzzy Systems, ICNN-FS 2014, (Venice, Italy; March 15-17, 2014), pp. 63-74, 2014.
Hieu V. Dang and Witold Kinsner, "An intelligent digital color image watermarking approach based on wavelet transform and general regression neural network," in Proc. of the 11th IEEE Intern. Conf. on Cognitive Informatics and Cognitive Computing, ICCI*CC 2012, (Kyoto, Japan: August 22-24, 2012), pp. 115-123, 2012.